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    <title>[1412.6980] Adam: A Method for Stochastic Optimization</title>
    <dc:date>2016-11-30T18:54:33+00:00</dc:date>
    <link>https://arxiv.org/abs/1412.6980</link>
    <dc:creator>arthegall</dc:creator><dc:subject>jimmy-ba arxiv optimization learning machinelearning stochastic-optimization</dc:subject>
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    <title>[1604.00289] Building Machines That Learn and Think Like People</title>
    <dc:date>2016-05-18T04:02:43+00:00</dc:date>
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    <title>[1509.03580] Discovering governing equations from data: Sparse identification of nonlinear dynamical systems</title>
    <dc:date>2016-05-17T19:47:10+00:00</dc:date>
    <link>http://arxiv.org/abs/1509.03580#</link>
    <dc:creator>arthegall</dc:creator><dc:subject>arxiv research-article learning sparse-methods</dc:subject>
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    <title>When an algorithm isn’t… — Medium</title>
    <dc:date>2015-10-18T15:53:58+00:00</dc:date>
    <link>https://medium.com/@geomblog/when-an-algorithm-isn-t-2b9fe01b9bb5</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA["And that’s how a learning algorithm works. It isn’t a recipe. It’s a procedure for constructing a recipe." 

<yawn> you could just have easily said, "it's a recipe for constructing recipes," a higher-order recipe, and then written a blog with exactly the opposite thesis statement.  

What I find more frustrating are people who write "algorithm" when they mean "formula" or "equation," but honestly even that complaint is a bit self-indulgent -- a recipe is a recipe, even when its steps consist of simple operations like addition and multiplication.

Ultimately, this all has the same evocative *feel* to it as those people who write long rants about how you shouldn't use the word "blog" for what is properly a blog *post*.  "I just wrote a blog!" "No you didn't, you wrote a post on a previously-existing blog." Whatever dude, get with the social-constructive nature of blogs, and posts, and algorithms, and recipes, and procedures, and literally everything else around you.]]></description>
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    <title>[1502.02362] Counterfactual Risk Minimization: Learning from Logged Bandit Feedback</title>
    <dc:date>2015-05-04T18:13:58+00:00</dc:date>
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    <title>Robot Turtles Board Game</title>
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    <title>Judea Pearl, Elias Bareinboim, &quot;Transportability across studies: a formal approach&quot;</title>
    <dc:date>2013-06-28T15:02:05+00:00</dc:date>
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    <title>Lucasiewicz, &quot;Magic Inference Rules for Probabilistic Deduction under Taxonomic Knowledge&quot; (arXiv)</title>
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    <title>Hopcroft and Kannan, &quot;Computer Science Theory for the Information Age&quot;</title>
    <dc:date>2013-02-19T13:23:46+00:00</dc:date>
    <link>http://www.cs.cmu.edu/~venkatg/teaching/CStheory-infoage/hopcroft-kannan-feb2012.pdf</link>
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    <title>Privacy-Preserving Data Analysis and Computational Learning: A Match made in Heaven « Windows On Theory</title>
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	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:privacy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:data-release"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research-article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:differential-privacy"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1205.3981">
    <title>Frasconi et al. &quot;kLog: A Language for Logical and Relational Learning with Kernels&quot; (arXiv)</title>
    <dc:date>2012-05-18T13:05:57+00:00</dc:date>
    <link>http://arxiv.org/abs/1205.3981</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[Also reading this morning -- unforch, the refs in their PDF are messed up, and their source-code is missing some import, so I can't recompile it (from .tex source) unaided.  GRrrrr.]]></description>
<dc:subject>machinelearning arxiv research-article learning programminglanguage to-read</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arthegall/b:f6b7bea02e35/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:arxiv"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research-article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:programminglanguage"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:to-read"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cs.berkeley.edu/~alekh/">
    <title>Alekh Agarwal</title>
    <dc:date>2012-02-13T13:10:44+00:00</dc:date>
    <link>http://www.cs.berkeley.edu/~alekh/</link>
    <dc:creator>arthegall</dc:creator><dc:subject>via:cshalizi researcher homepage big-data statistics online-optimization learning machinelearning convex-optimization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arthegall/b:02a7218d9572/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:via:cshalizi"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:researcher"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:homepage"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:big-data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:online-optimization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:convex-optimization"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/twitter/scala_school">
    <title>twitter/scala_school - GitHub</title>
    <dc:date>2012-02-06T13:15:30+00:00</dc:date>
    <link>https://github.com/twitter/scala_school</link>
    <dc:creator>arthegall</dc:creator><dc:subject>github scala tutorial learning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arthegall/b:3022c41c54da/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:github"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:scala"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:tutorial"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1111.4226">
    <title>[1111.4226] Joint Modeling of Multiple Related Time Series via the Beta Process</title>
    <dc:date>2011-12-31T14:13:24+00:00</dc:date>
    <link>http://arxiv.org/abs/1111.4226</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[Alan Willsky. ]]></description>
<dc:subject>time-series arxiv research-article via:? michael-jordan learning machinelearning beta-process probabilistic-methods</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arthegall/b:cd750dd46fcb/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:time-series"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:arxiv"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research-article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:via:?"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:michael-jordan"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:beta-process"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:probabilistic-methods"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1109.5466">
    <title>[1109.5466] Optimal Sensor Placement for Intruder Detection</title>
    <dc:date>2011-12-31T13:56:15+00:00</dc:date>
    <link>http://arxiv.org/abs/1109.5466</link>
    <dc:creator>arthegall</dc:creator><dc:subject>arxiv research-article sensor-networks learning systems optimization control</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arthegall/b:70fed32888d8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:arxiv"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research-article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:sensor-networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:systems"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:optimization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:control"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1109.2229">
    <title>[1109.2229] A Learning Theory Approach to Non-Interactive Database Privacy</title>
    <dc:date>2011-12-31T13:55:22+00:00</dc:date>
    <link>http://arxiv.org/abs/1109.2229</link>
    <dc:creator>arthegall</dc:creator><dc:subject>arxiv research-article privacy database data learning learning-theory</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arthegall/b:5fe8fef9e325/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:arxiv"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research-article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:privacy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:database"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning-theory"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1110.6416">
    <title>van Erven, Grunwald, Koolen, &amp; dr Rooij &quot;Adaptive Hedge&quot;</title>
    <dc:date>2011-12-31T13:42:38+00:00</dc:date>
    <link>http://arxiv.org/abs/1110.6416</link>
    <dc:creator>arthegall</dc:creator><dc:subject>arxiv research-article online-optimization optimization learning machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arthegall/b:140348d3e95a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:arxiv"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research-article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:online-optimization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:optimization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1112.0076">
    <title>Nicolas Della Penna, Mark Reid, &quot;Bandit Market Makers&quot; (arXiv)</title>
    <dc:date>2011-12-14T11:14:46+00:00</dc:date>
    <link>http://arxiv.org/abs/1112.0076</link>
    <dc:creator>arthegall</dc:creator><dc:subject>markets learning bandit-learning machinelearning market-makers arxiv by:nikete by:mreid</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arthegall/b:cb4e04a0d7bd/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:markets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:bandit-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:market-makers"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:arxiv"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:by:nikete"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:by:mreid"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://cscs.umich.edu/~crshalizi/notebooks/social-contagion.html">
    <title>Social Contagion, Information Cascades, Diffusion of Innovations, Etc.</title>
    <dc:date>2011-06-18T12:49:59+00:00</dc:date>
    <link>http://cscs.umich.edu/~crshalizi/notebooks/social-contagion.html</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[Oooh, a new notebook to read.]]></description>
<dc:subject>by:cshalizi notebook learning culture contagion diffusion networks</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:59a87b7ebcec/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:by:cshalizi"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:notebook"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:culture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:contagion"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:diffusion"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:networks"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://marginalrevolution.com/marginalrevolution/2011/03/what-i-learn-from-playing-chess-and-computers-.html?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A+marginalrevolution%2Ffeed+%28Marginal+Revolution%29">
    <title>&quot;What I learn from chess and computers&quot; (Tyler Cowen)</title>
    <dc:date>2011-04-05T11:35:48+00:00</dc:date>
    <link>http://marginalrevolution.com/marginalrevolution/2011/03/what-i-learn-from-playing-chess-and-computers-.html?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A+marginalrevolution%2Ffeed+%28Marginal+Revolution%29</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA["The AI revolution basically came first to chess!" -- a thousand times, 'yes'!  Also, point #5 could probably be expanded into an entire book on its own.]]></description>
<dc:subject>chess artificial-intelligence learning computers culture teaching</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arthegall/b:2052be30b9fd/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:chess"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:artificial-intelligence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:computers"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:culture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:teaching"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1011.0415">
    <title>Bento, Ibrahimi, Montanari, &quot;Learning Networks of Stochastic Differential Equations&quot; (arXiv)</title>
    <dc:date>2010-11-16T12:49:06+00:00</dc:date>
    <link>http://arxiv.org/abs/1011.0415</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA["We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the dynamics. We tackle the problem of learning such a network from observation of the system trajectory over a time interval $T$."
]]></description>
<dc:subject>symbolic-methods stochastic-processes differential-equations graphs research-article learning arxiv nips statistics information-theory via:ded_maxim</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:128030a35b7f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:symbolic-methods"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:stochastic-processes"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:differential-equations"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:graphs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research-article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:arxiv"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:nips"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:information-theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:via:ded_maxim"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/1008.1290">
    <title>Chandrasekaran, Parrilo, Willsky, &quot;Latent Variable Graphical Model Selection via Convex Optimization&quot; (arXiv)</title>
    <dc:date>2010-09-17T15:52:16+00:00</dc:date>
    <link>http://arxiv.org/abs/1008.1290</link>
    <dc:creator>arthegall</dc:creator><dc:subject>arxiv research-article optimization convex-optimization learning machinelearning graphical-models model-selection alan-willsky latent-variables via:cshalizi</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:a1179d5c1b31/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:arxiv"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research-article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:optimization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:convex-optimization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:graphical-models"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:model-selection"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:alan-willsky"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:latent-variables"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:via:cshalizi"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/math/0212400">
    <title>David Mumford, &quot;Pattern theory: the mathematics of perception&quot;</title>
    <dc:date>2010-08-17T15:14:33+00:00</dc:date>
    <link>http://arxiv.org/abs/math/0212400</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[Yes, *that* David Mumford. Oddly enough, this reminds me how I met Mumford's niece at a soccer game this summer.
]]></description>
<dc:subject>david-mumford trivia arxiv research-article patterns perception learning</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:ca2a56f06733/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:david-mumford"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:trivia"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:arxiv"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research-article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:patterns"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:perception"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://motionmathgames.com/index.html">
    <title>Motion Math - Body-based learning games</title>
    <dc:date>2010-08-09T13:52:54+00:00</dc:date>
    <link>http://motionmathgames.com/index.html</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[Gabe's new project.
]]></description>
<dc:subject>friend personal company learning motion iphone mobile-development</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:43daf5c63138/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:friend"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:personal"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:company"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:motion"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:iphone"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:mobile-development"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://ndpr.nd.edu/review.cfm?id=20707">
    <title>Deborah G. Mayo, Aris Spanos (eds.) - Error and Inference: Recent Exchanges on Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science - Reviewed by Adam La Caze</title>
    <dc:date>2010-08-04T20:12:23+00:00</dc:date>
    <link>http://ndpr.nd.edu/review.cfm?id=20707</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[More Mayo that I must own.
]]></description>
<dc:subject>deborah-mayo error learning statistics testing discussion book book-review</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:021792c30a4b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:deborah-mayo"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:error"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:testing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:discussion"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:book"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:book-review"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.mail-archive.com/kragen-tol@canonical.org/msg00243.html">
    <title>could we learn a new foreign language every week?</title>
    <dc:date>2010-06-17T17:22:07+00:00</dc:date>
    <link>http://www.mail-archive.com/kragen-tol@canonical.org/msg00243.html</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA["So that gives us around 90k bits, which should require around 180k seconds of optimal memorization...! This would involve learning about two new vocabulary words per minute, which seems like a plausible rate. ... 50 hours is a rather remarkably small number. ... This is at least one order of magnitude better than commonly-observed performance in foreign-language learning. Why might this be? One possible explanation is that people are usually learning not only the vocabulary of the language, but also its alphabet, orthography, phonology, morphology, syntax, and pragmatics at the same time. A second ... is that typical vocabulary memorization is very badly structured..." -- and the second one's the one you go with? I'm about 50% convinced that this is an extended joke, in which case, bravo.
]]></description>
<dc:subject>glark humor language learning bits via:chl insanity memorization memory</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:74f5b80b8abf/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:glark"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:humor"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:language"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:bits"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:via:chl"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:insanity"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:memorization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:memory"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.cam.cornell.edu/~sharad/papers/searchpreds.pdf">
    <title>Goel, Hofman, Lahaie, Pennock, and Watts. &quot;What Can Search Predict?&quot;</title>
    <dc:date>2010-05-03T21:24:12+00:00</dc:date>
    <link>http://www.cam.cornell.edu/~sharad/papers/searchpreds.pdf</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[Via Andrew Gelman ( http://www.stat.columbia.edu/~cook/movabletype/archives/2010/01/what_can_search.html  ) 
]]></description>
<dc:subject>search prediction learning search-engines prediction-markets yahoo research-article pdf</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:dc941c9032fa/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:search"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:prediction"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:search-engines"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:prediction-markets"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:yahoo"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research-article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:pdf"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/0904.4458">
    <title>[0904.4458] Learning Character Strings via Mastermind Queries, with a Case Study Involving mtDNA</title>
    <dc:date>2010-05-03T16:19:30+00:00</dc:date>
    <link>http://arxiv.org/abs/0904.4458</link>
    <dc:creator>arthegall</dc:creator><dc:subject>arxiv research-article strings algorithms learning bioinformatics via:Vaguery</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:a08b8d905cda/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:arxiv"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research-article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:strings"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:bioinformatics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:via:Vaguery"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.guardian.co.uk/sport/blog/2009/dec/23/the-question-football-tactics-develop-decade">
    <title>&quot;The Question: How will football tactics develop over the next decade?&quot; (Jonathan Wilson)</title>
    <dc:date>2010-01-05T15:48:38+00:00</dc:date>
    <link>http://www.guardian.co.uk/sport/blog/2009/dec/23/the-question-football-tactics-develop-decade</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[I *really* need to buy Jonathan Wilson's book.  And there's so much in this piece to really chew on, even if you're not into soccer (ahem, football) at all.  Sports-as-evolution, culture, learning, etc etc etc.
]]></description>
<dc:subject>cultural-ratchet-effect sports learning culture soccer jonathan-wilson futurism tactics</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:5402e2d3e3d6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:cultural-ratchet-effect"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:sports"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:culture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:soccer"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:jonathan-wilson"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:futurism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:tactics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.washingtonpost.com/wp-dyn/content/article/2009/11/25/AR2009112502775.html">
    <title>Book review: Reading in the Brain by Stanislas Dehaene - washingtonpost.com</title>
    <dc:date>2009-12-28T18:09:23+00:00</dc:date>
    <link>http://www.washingtonpost.com/wp-dyn/content/article/2009/11/25/AR2009112502775.html</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA["Children learn reading in a stepwise process: first, awareness that words are made up of phonemes or speech sounds (ba, da); then the discovery that there's a correspondence between these speech sounds and pairs or groups of letters. Later the child begins to recognize entire words, and after a few years, reading speed becomes independent of word length. Dehaene deplores the whole-language approach to teaching reading in which beginning readers are presented with entire words or phrases in the hope of fostering earlier comprehension of text. He cites research showing that children who first learn which sounds are represented by which letters, and how pairs or groups of letters correspond to speech sounds, make steadier progress and achieve better reading scores than those taught using the whole-language method." -- Must buy this book.
]]></description>
<dc:subject>via:fernando-pereira reading learning education literacy orality book review neuroscience</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:b5afbe5428f8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:via:fernando-pereira"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:reading"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:education"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:literacy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:orality"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:book"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:review"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:neuroscience"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.eurekalert.org/pub_releases/2009-12/yu-ddn121709.php">
    <title>Dyslexia defined: New Yale study 'uncouples' reading and IQ over time</title>
    <dc:date>2009-12-28T18:02:56+00:00</dc:date>
    <link>http://www.eurekalert.org/pub_releases/2009-12/yu-ddn121709.php</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[To be beaten with a copy of Orality and Literacy after a fair trial.
]]></description>
<dc:subject>reading intelligence dyslexia literacy learning howcouldanyonewritethiswithastraightface?</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:3548727dcfcd/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:reading"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:intelligence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:dyslexia"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:literacy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:howcouldanyonewritethiswithastraightface?"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.guardian.co.uk/football/blog/2009/dec/01/england-football-tactics-fabio-capello">
    <title>The Question: Do formations have to be symmetrical? | Jonathan Wilson | Sport | guardian.co.uk</title>
    <dc:date>2009-12-03T13:13:35+00:00</dc:date>
    <link>http://www.guardian.co.uk/football/blog/2009/dec/01/england-football-tactics-fabio-capello</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[A history of soccer formations, phrased as the answer to the question of why Fabio Capello is a better coach for England than some people seem to want to believe.  This is excellent, both from a sports perspective, and also from the perspective of a history of cultural and social evolution -- formations, and changes in them, are "how people learned to play the game."
]]></description>
<dc:subject>cultural-ratchet-effect sports soccer england formations history culture learning</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:9067b7ea38b0/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:cultural-ratchet-effect"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:sports"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:soccer"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:england"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:formations"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:culture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.pnas.org/content/106/45/18926.abstract?etoc">
    <title>Van der Werf et al. &quot;Learning by observation requires an early sleep window&quot; (PNAS, 2009)</title>
    <dc:date>2009-11-18T16:31:39+00:00</dc:date>
    <link>http://www.pnas.org/content/106/45/18926.abstract?etoc</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA["The sleep-dependent observational motor learning enhancement is at least similar to that previously reported for implicit and declarative memory. The apparent prerequisite of observing real movements indicates that subjects transfer experience obtained through observation of movements to subsequent self-initiated movements, in the absence of practice. Moreover, the consolidation of this transfer requires an early sleep window." -- Makes me think I should be taking more naps.
]]></description>
<dc:subject>sleep learning pnas research-article psychology neuroscience</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:73ab3294b1d5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:sleep"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:pnas"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research-article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:psychology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:neuroscience"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.umiacs.umd.edu/~ramani/">
    <title>Ramani Duraiswami</title>
    <dc:date>2009-11-04T16:19:48+00:00</dc:date>
    <link>http://www.umiacs.umd.edu/~ramani/</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[Papers on the multipole method and the fast gauss transform.
]]></description>
<dc:subject>learning algorithms numerical-methods papers list researcher homepage publications</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:c6cf3dce95a9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:algorithms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:numerical-methods"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:papers"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:list"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:researcher"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:homepage"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:publications"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://understandingsociety.blogspot.com/2009/09/tacit-knowledge.html">
    <title>&quot;Tacit Knowlege&quot; (Daniel Little, UnderstandingSociety)</title>
    <dc:date>2009-09-09T13:00:32+00:00</dc:date>
    <link>http://understandingsociety.blogspot.com/2009/09/tacit-knowledge.html</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[Tacit Knowledge #3.  (via Mark Thoma's blog: http://economistsview.typepad.com/economistsview/2009/09/tacit-knowledge.html)
]]></description>
<dc:subject>economics tacit-knowledge daniel-little sociology culture learning knowledge</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:288cb69255a4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:economics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:tacit-knowledge"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:daniel-little"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:sociology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:culture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:knowledge"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://understandingsociety.blogspot.com/2009/03/technical-practices.html">
    <title>&quot;Technical Practices&quot; (Daniel Little, UnderstandingSociety)</title>
    <dc:date>2009-09-09T12:59:27+00:00</dc:date>
    <link>http://understandingsociety.blogspot.com/2009/03/technical-practices.html</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[Tacit Knowledge #2.
]]></description>
<dc:subject>tacit-knowledge culture learning sociology daniel-little cultural-ratchet-effect</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:a1240ca94336/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:tacit-knowledge"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:culture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:sociology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:daniel-little"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:cultural-ratchet-effect"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://understandingsociety.blogspot.com/2008/05/microfoundations-of-social-practices.html">
    <title>&quot;Microfoundations of social practices&quot; (Daniel Little, UnderstandingSociety)</title>
    <dc:date>2009-09-09T12:58:17+00:00</dc:date>
    <link>http://understandingsociety.blogspot.com/2008/05/microfoundations-of-social-practices.html</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[Tacit Knowledge #1.  Saving this so it's no longer sitting in the Chrome tabs.
]]></description>
<dc:subject>culture knowledge learning cultural-ratchet-effect tacit-knowledge daniel-little sociology</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:0bb4fbf3cda6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:culture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:knowledge"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:cultural-ratchet-effect"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:tacit-knowledge"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:daniel-little"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:sociology"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://gizmodo.com/5345785/giz-explains-how-to-actually-make-coffee">
    <title>Giz Explains: How to Actually Make Coffee - How to make coffee - Gizmodo</title>
    <dc:date>2009-09-09T12:35:57+00:00</dc:date>
    <link>http://gizmodo.com/5345785/giz-explains-how-to-actually-make-coffee</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[Collected for an example in some thoughts about "tacit knowledge," culture, rules, and learning.  But also because I want to make better coffee, and I desire a Chemex.
]]></description>
<dc:subject>via:ded_maxim coffee instructions tutorial gizmodo tacit-knowledge culture learning</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:4bef4cea8adf/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:via:ded_maxim"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:coffee"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:instructions"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:tutorial"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:gizmodo"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:tacit-knowledge"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:culture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.springerlink.com/content/n386vu21527p0r7m/">
    <title>Sutton, &quot;Learning to predict by the methods of temporal differences&quot; (1988)</title>
    <dc:date>2009-09-09T12:33:44+00:00</dc:date>
    <link>http://www.springerlink.com/content/n386vu21527p0r7m/</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[The original Temporal Differences learning paper, if I'm not mistaken? Time to re-read.  (Alex, Bob, if you see this: ideas for a free-food-predictor start here, perhaps?)
]]></description>
<dc:subject>temporal-difference-learning prediction research-article learning vultures</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:c586dfa37ff7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:temporal-difference-learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:prediction"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research-article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:vultures"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.ams.org/bull/2009-46-02/S0273-0979-09-01249-X/home.html">
    <title>Carlsson, &quot;Topology and Data&quot; (2009)</title>
    <dc:date>2009-07-15T14:32:30+00:00</dc:date>
    <link>http://www.ams.org/bull/2009-46-02/S0273-0979-09-01249-X/home.html</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[[Bull. Amer. Math. Soc. 46 (2009) 255-308]
]]></description>
<dc:subject>geometry data learning geometry-of-data topology research-article</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:e4a681e247de/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:geometry"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:geometry-of-data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:topology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research-article"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.stat.columbia.edu/~cook/movabletype/archives/2009/04/using_a_robot_a.html">
    <title>&quot;Using a robot arm to feel a mathematical function or a statistical distribution&quot; (Andrew Gelman)</title>
    <dc:date>2009-04-28T16:30:12+00:00</dc:date>
    <link>http://www.stat.columbia.edu/~cook/movabletype/archives/2009/04/using_a_robot_a.html</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[Statistical haptics.
]]></description>
<dc:subject>haptics interface statistics multi-modal learning sensory-perception</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:5b55b132e2da/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:haptics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:interface"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:multi-modal"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:sensory-perception"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://dsp.rice.edu/files/cs/cl.pdf">
    <title>Calderbank, Jafarpour, Schapire, &quot;Compressed Learning: Universal Sparse Dimensionality Reduction and Learning in the Measurement Domain&quot; (PDF)</title>
    <dc:date>2009-04-03T12:01:44+00:00</dc:date>
    <link>http://dsp.rice.edu/files/cs/cl.pdf</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[Shaun, when you have a moment in the next week, do you want to^H^H^H^H^H^H would you be willing to talk about this?
]]></description>
<dc:subject>compressed-sensing learning machinelearning research pdf research-article via:shivak</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:28443a612254/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:compressed-sensing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:pdf"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research-article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:via:shivak"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://ideas.repec.org/p/nbr/nberre/1176.html">
    <title>Robert Lucas, &quot;On the Mechanics of Economic Development&quot; (1987)</title>
    <dc:date>2009-03-18T12:47:01+00:00</dc:date>
    <link>http://ideas.repec.org/p/nbr/nberre/1176.html</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA["This paper considers the prospects for constructing a neoclassical theory of growth and international trade that is consistent with some of the main features of economic development.  Three models are considered and compared to evidence: a model emphasizing physical capital accumulation and technological change, a model emphasizing human capital accumulation through schooling, and a model emphasizing specialized human capital accumulation through learning-by-doing."  --- Doesn't look like *exactly* what I'm looking for, but it's a start.
]]></description>
<dc:subject>research-article economics culture learning development robert-lucas social-capital</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:3801d57dfa29/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research-article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:economics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:culture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:development"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:robert-lucas"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:social-capital"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://etc.ofthiswearesure.com/2009/02/the-city-is-a-prototyping-engine.php">
    <title>&quot;The City Is A Prototyping Engine&quot; (there is a lot to say, of this we are sure)</title>
    <dc:date>2009-02-21T15:03:34+00:00</dc:date>
    <link>http://etc.ofthiswearesure.com/2009/02/the-city-is-a-prototyping-engine.php</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA["If the largest cities are able to churn over constant ptototypes it's because the abundance of density yields disproportionately large opportunities in the form of financing, know how, and other limited resources. The rural, on the other hand, typically has ample supplies of raw material and time. The rural ethos is to assemble what you have in the best way that you can and this kind of improvisation is is what was missing from Paso Robles. As a place that now thinks of itself as a city, Paso Robles looked to other, larger cities for its missing expertise and equipment rather than taking the imperative of the event to test something new. This opportunity for civitas was treated as a chance to consume." -- There's a lot more to say about *this* in particular. I think the idea of "cities-that-consume-or-produce" is very similar to "cultures-that-learn." These are attributes we normally think of ascribing to people; which other characteristics can be ascribed to corporate entities?
]]></description>
<dc:subject>learning consumption cities urban rural by:bryan</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:1cd71568936a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:consumption"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:cities"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:urban"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:rural"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:by:bryan"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://lingpipe-blog.com/2009/01/12/naive-bayes-binomial-bags-of-words/">
    <title>&quot;Naive Bayes, Binomials, and Bags of Words&quot; (LingPipe Blog)</title>
    <dc:date>2009-01-19T13:07:42+00:00</dc:date>
    <link>http://lingpipe-blog.com/2009/01/12/naive-bayes-binomial-bags-of-words/</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[A basic review of naive Bayes modeling, bag of words representations, and all that.
]]></description>
<dc:subject>machinelearning bayesian-methods nlp learning probabilistic-methods naive-bayes</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:00a3178bf4f3/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:bayesian-methods"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:probabilistic-methods"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:naive-bayes"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://tdunning.blogspot.com/2008/12/students-learn-what-they-need-not-what.html">
    <title>&quot;Students learn what they need, not what is assigned&quot; (Surprise and Coincidence)</title>
    <dc:date>2009-01-18T22:24:05+00:00</dc:date>
    <link>http://tdunning.blogspot.com/2008/12/students-learn-what-they-need-not-what.html</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA["At the risk of sounding self-contradictory, I also think that when the student owns the task of learning, they will learn enormously better than when the task is imposed. This does not imply that the student discover everything, however. It merely implies that they need to discover the need for the things that they learn. Students who need to learn something can learn from almost any source, even from something as currently unfashionable as, say, sitting quietly through traditional lecture."
]]></description>
<dc:subject>via:chl education learning teaching robotics</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:96f5cb50e1ce/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:via:chl"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:education"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:teaching"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:robotics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.4tphi.net/~awalters/PI/PI.html">
    <title>The Protocol Informatics Project</title>
    <dc:date>2009-01-15T19:38:29+00:00</dc:date>
    <link>http://www.4tphi.net/~awalters/PI/PI.html</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA["The Protocol Informatics project is a software framework that allows for advanced sequence and protocol stream analysis by utilizing bioinformatics algorithms. The sole purpose of this software is to identify protocol fields in unknown or poorly documented network protocol formats. The algorithms that are used perform comparative analysis on a series of samples to better understand the underlying structure of the otherwise random-looking data."  --- So... Smith-Waterman, but used to analyze network protocol data?  That's ... neat.  Sort of like that genetic-programming-for-file-parsing stuff from a week or two ago.
]]></description>
<dc:subject>data network bioinformatics learning protocol reverse-engineering smith-waterman</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:8e94ba593baa/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:network"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:bioinformatics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:protocol"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:reverse-engineering"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:smith-waterman"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://apperceptual.wordpress.com/2008/12/24/beyond-proportional-analogy/">
    <title>&quot;Beyond Proportional Analogy&quot; (Apperceptual)</title>
    <dc:date>2008-12-24T21:59:12+00:00</dc:date>
    <link>http://apperceptual.wordpress.com/2008/12/24/beyond-proportional-analogy/</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA["For some time now, I’ve been experimenting with algorithms for solving proportional analogies." Haven't had enough time to read the underlying paper yet (apparently, my family and girlfriend are not cool with me reading papers at the dinner table on Christmas Eve? who knew...), but this looks totally sweet.  Time to add Apperceptual to the RSS reader (I'm not sure why I hadn't done that already).
]]></description>
<dc:subject>via:cshalizi learning analogies machinelearning relational-data</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:8a72cbc7fadf/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:via:cshalizi"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:analogies"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:relational-data"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://scienceblogs.com/cognitivedaily/2008/11/can_a_blind_person_whose_visio.php">
    <title>&quot;Can a blind person whose vision is restored understand what she sees?&quot; (Cognitive Daily)</title>
    <dc:date>2008-11-11T22:28:33+00:00</dc:date>
    <link>http://scienceblogs.com/cognitivedaily/2008/11/can_a_blind_person_whose_visio.php</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA["Overall, the researchers found that S.R.D. could complete nearly all of the tasks just as accurately as the others, although anecdotally it took her about 5 to 10 seconds longer than the people who had never experienced blindness. There were two exceptions. She wasn't quite as good at recognizing faces (though she still was more than 75 percent accurate), and she had a peculiar difficulty in judging gaze direction."
]]></description>
<dc:subject>science research vision brain-science pyschology learning blindness</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:66f3e868b9b5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:vision"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:brain-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:pyschology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:blindness"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.blog.sethroberts.net/2008/10/22/jane-jacobs-on-experts/">
    <title>&quot;Jane Jacobs on Experts&quot; (Seth’s blog)</title>
    <dc:date>2008-10-22T14:51:48+00:00</dc:date>
    <link>http://www.blog.sethroberts.net/2008/10/22/jane-jacobs-on-experts/</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[I (honestly) don't find this quote damning at all.  This is exactly how being a graduate student generally works (at least, around here): someone sits you down and says, "you are now our expert in implementing dynamic programming methods for calling segments in microarray data."  Or, "you are now our expert in motif discovery methods that take sequence conservation into account."  Or, whatever.  And you totally aren't an expert, at first.  But by the time you graduate, you know a lot more than you did when you started.  This anecdote just makes me think that Jane Jacobs had a really poor understanding of Learning and its role in  Culture -- which I don't think she did.  So something else must be wrong.
]]></description>
<dc:subject>learning expertise quote jane-jacobs knowledge epistemology graduate-school</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:46a9030bbcfd/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:expertise"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:quote"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:jane-jacobs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:knowledge"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:epistemology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:graduate-school"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://ocw.mit.edu/OcwWeb/Mathematics/18-098January--IAP--2008/Readings/index.htm">
    <title>18.098 Street-Fighting Mathematics, January (IAP) 2008 (MIT OpenCourseWare)</title>
    <dc:date>2008-10-21T14:52:13+00:00</dc:date>
    <link>http://ocw.mit.edu/OcwWeb/Mathematics/18-098January--IAP--2008/Readings/index.htm</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[The course notes to Sanjay Mahajan's IAP course.
]]></description>
<dc:subject>mit ocw notes course mathematics learning</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:290a3e4a87ea/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:mit"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:ocw"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:notes"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:course"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://stochastix.wordpress.com/2008/10/15/learning-from-the-marines/">
    <title>&quot;Learning from the Marines&quot; (Reasonable Deviations)</title>
    <dc:date>2008-10-15T22:35:03+00:00</dc:date>
    <link>http://stochastix.wordpress.com/2008/10/15/learning-from-the-marines/</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA["The Marine Corps teaches you how to be miserable.  This is invaluable for an artist."  Reading this, I was thinking, "this must be the function of graduate school, too."  And then I got to the end and, yes, there is the requisite mention of graduate school.
]]></description>
<dc:subject>graduate-school military art misery learning</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:5cb677a626fb/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:graduate-school"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:military"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:art"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:misery"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.nature.com/nature/journal/vaop/ncurrent/full/nature07246.html">
    <title>Halberda, Mazzocco, and Feigenson, &quot;Individual differences in non-verbal number acuity correlate with maths achievement&quot; (Nature)</title>
    <dc:date>2008-09-22T18:10:46+00:00</dc:date>
    <link>http://www.nature.com/nature/journal/vaop/ncurrent/full/nature07246.html</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[The original paper behind the "gut instinct" and mathematics article in the NYT.
]]></description>
<dc:subject>mathematics learning teaching research-article psychology</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:ad0ac5b9cba0/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:teaching"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research-article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:psychology"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://languagelog.ldc.upenn.edu/nll/?p=607">
    <title>&quot;Guess how good you are at math&quot; (Language Log)</title>
    <dc:date>2008-09-22T18:03:13+00:00</dc:date>
    <link>http://languagelog.ldc.upenn.edu/nll/?p=607</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[The Log mentions the "gut instinct & mathematics" article in the NYT, along with a link to the original paper.
]]></description>
<dc:subject>mathematics learning language</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:c3103935ea75/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:language"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://crookedtimber.org/2008/08/18/grade-inflation/">
    <title>&quot;Grade Inflation&quot; (Crooked Timber)</title>
    <dc:date>2008-09-09T16:03:11+00:00</dc:date>
    <link>http://crookedtimber.org/2008/08/18/grade-inflation/</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[Quoting (and disagreeing with) Harvey Mansfield on grade inflation.  "To know it would require a large year-by-year database of the actual work done by Harvard students (including, presumably, evidence of their classroom participation), and the matching grades. I’d be very surprised if the administrators have such a database, access to which they are jealously guarding. Mansfield ought to know: if one existed he would have been asked to contribute to it. But he does not even seem aware that that is what would be needed."  --- But there's something else going on here, too.  There are at least three or four different reasons why grade inflation could be bad, right?
]]></description>
<dc:subject>education university grade-inflation social-science learning harvey-mansfield</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:4f73a90cbb91/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:education"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:university"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:grade-inflation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:social-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:harvey-mansfield"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.informatik.uni-trier.de/~ley/db/conf/ijcai/ijcai2007.html">
    <title>20. IJCAI 2007: Hyderabad, India</title>
    <dc:date>2008-08-29T14:36:47+00:00</dc:date>
    <link>http://www.informatik.uni-trier.de/~ley/db/conf/ijcai/ijcai2007.html</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[Papers from the International Joint Conference on AI.  Including several papers in the "Learning" section that I never got around to reading...
]]></description>
<dc:subject>papers list index conference artificial-intelligence machinelearning learning inference</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:a1d3611c8725/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:papers"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:list"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:index"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:conference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:artificial-intelligence"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:inference"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.pnas.org/content/105/31/10687">
    <title>Kemp and Tenenbaum, &quot;The discovery of structural form&quot; — PNAS</title>
    <dc:date>2008-08-22T10:24:22+00:00</dc:date>
    <link>http://www.pnas.org/content/105/31/10687</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA["Here, we present a computational model that learns structures of many different forms and that discovers which form is best for a given dataset. The model makes probabilistic inferences over a space of graph grammars representing trees, linear orders, multidimensional spaces, rings, dominance hierarchies, cliques, and other forms and successfully discovers the underlying structure of a variety of physical, biological, and social domains."  To read.  If it were someone other than Josh Tenenbaum in the author list, I'd be less interested...
]]></description>
<dc:subject>machinelearning learning structure research-article pnas psychology science</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:8b763ae9dd81/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:structure"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research-article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:pnas"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:psychology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:science"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.sil.org/klp/klp-mono.htm">
    <title>The Nature of Field Work in a Monolingual Setting</title>
    <dc:date>2008-08-18T17:14:26+00:00</dc:date>
    <link>http://www.sil.org/klp/klp-mono.htm</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[An excerpt of a description of Kenneth Pike eliciting information about a new language from a native speaker without a translator -- "monolingual elicitation."  Benzon at the Valve links to this, asking "what did Pike know that Quine didn't?"  But that seems like a complete misreading of Quine, who's describing how the narrowing process (I think he terms this, asking "ostensive" questions) narrows down some intermediate translation without ever permanently settling the question.  Would someone like Pike ever really dispute that?  Anyway, I think language-learning-games like this are probably a great lab for thinking about science too -- "nature" as the native speaker.
]]></description>
<dc:subject>language science quote kenneth-pike linguistics learning quine via:the-valve</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:9f5e6829a4f7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:language"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:quote"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:kenneth-pike"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:linguistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:quine"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:via:the-valve"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://arxiv.org/abs/0806.4802">
    <title>Freund and Hsu, &quot;A new Hedging algorithm and its application to inferring latent random variables&quot; (arXiv)</title>
    <dc:date>2008-07-04T13:52:32+00:00</dc:date>
    <link>http://arxiv.org/abs/0806.4802</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA["We also sketch how a regret-based algorithm can be used as an alternative to Bayesian averaging in the context of inferring latent random variables. "
]]></description>
<dc:subject>research-article arxiv inference learning machinelearning</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:9cf137789197/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research-article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:arxiv"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:inference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://scienceblogs.com/cognitivedaily/2008/05/aps_2008_doing_algebra_its_the.php">
    <title>&quot;APS 2008: Doing algebra -- it's the little things that count&quot; (Cognitive Daily)</title>
    <dc:date>2008-06-06T22:40:02+00:00</dc:date>
    <link>http://scienceblogs.com/cognitivedaily/2008/05/aps_2008_doing_algebra_its_the.php</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[Ordering and notation in high-school algebra.  See, what I take away from this is that it must be *very hard* to design algebra tests correctly (to actually test what you want to test).  Test-writers probably don't even recognize their own mistakes.
]]></description>
<dc:subject>education mathematics notation learning</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:dc39c212960e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:education"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:notation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.longnow.org/views/essays/articles/ArtFeynman.php">
    <title>Danny Hillis, &quot;Richard Feynman and The Connection Machine&quot; (Physics Today)</title>
    <dc:date>2008-06-05T18:58:37+00:00</dc:date>
    <link>http://www.longnow.org/views/essays/articles/ArtFeynman.php</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA["I suspect his motivation was not so much to understand the world as it was to find new ideas to explain. The act of discovery was not complete for him until he had taught it to someone else. "
]]></description>
<dc:subject>computerscience history feynman story anecdote humor learning physics technology</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:96c7d45a2cb9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:computerscience"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:feynman"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:story"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:anecdote"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:humor"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:physics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:technology"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://scienceblogs.com/cognitivedaily/2008/05/aps_2008_what_chutes_and_ladde.php">
    <title>&quot;APS 2008: What Chutes and Ladders has to do with learning Math&quot; (Cognitive Daily)</title>
    <dc:date>2008-05-27T19:05:45+00:00</dc:date>
    <link>http://scienceblogs.com/cognitivedaily/2008/05/aps_2008_what_chutes_and_ladde.php</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA["Whether kids played board games correlated with number line success, but playing video games did not."
]]></description>
<dc:subject>mathematics teaching learning children games cognitive-science development</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:674341105ff4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:teaching"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:children"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:games"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:cognitive-science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:development"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.languagehat.com/archives/003113.php">
    <title>&quot;THE SHADED LANES.&quot; (Languagehat)</title>
    <dc:date>2008-05-08T14:16:39+00:00</dc:date>
    <link>http://www.languagehat.com/archives/003113.php</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA["...it is a burning pity that our lives are not long enough and not sufficiently free of annoying obstacles, to study all things with the same care and depth as the one we now devote to some favorite subject or period." Nabokov on scholarship.
]]></description>
<dc:subject>language learning academia intellectualism study writing history quote</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:263a6b03d375/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:language"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:academia"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:intellectualism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:study"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:writing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:history"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:quote"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://crookedtimber.org/2008/04/30/is-there-a-general-skill-of-management/">
    <title>&quot;Is there a general skill of “management”?&quot; (Daniel Davies at Crooked Timber)</title>
    <dc:date>2008-04-30T17:43:38+00:00</dc:date>
    <link>http://crookedtimber.org/2008/04/30/is-there-a-general-skill-of-management/</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[Just when I think I've managed to worm my way out from under the dsquared cult... he pulls me back in.  It's a great post.
]]></description>
<dc:subject>management business sociology science culture learning</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:90f9642c0457/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:management"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:business"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:sociology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:culture"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://b-course.cs.helsinki.fi/obc/">
    <title>B-Course</title>
    <dc:date>2008-03-26T21:32:31+00:00</dc:date>
    <link>http://b-course.cs.helsinki.fi/obc/</link>
    <dc:creator>arthegall</dc:creator><dc:subject>bayes classification learning network bayesian</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:f74e18a86758/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:bayes"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:classification"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:network"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:bayesian"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://content.apa.org/journals/amp/34/7/571">
    <title>Robyn Dawes, &quot;The Robust Beauty of Improper Linear Models in Decision Making&quot;</title>
    <dc:date>2008-03-23T13:53:38+00:00</dc:date>
    <link>http://content.apa.org/journals/amp/34/7/571</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[PsycARTICLES - American Psychologist - Vol 34 Iss 7 Page 571.  Gah, why won't MIT give me access to this?  Time to track it down in the library.  (Via Andrew Gelman).
]]></description>
<dc:subject>research-article psychology learning statistics</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:a538310cf498/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:research-article"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:psychology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:statistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://type101.fontbureau.com/archives/36">
    <title>&quot;The em&quot; (Font Bureau Type 101)</title>
    <dc:date>2008-03-17T21:32:58+00:00</dc:date>
    <link>http://type101.fontbureau.com/archives/36</link>
    <dc:creator>arthegall</dc:creator><dc:subject>font learning typography reference</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:0010df9193d4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:font"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:typography"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:reference"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.illc.uva.nl/HPI/Draft_Learning.pdf">
    <title>Kevin Kelly, &quot;Learning, Simplicity, Truth, and Misinformation.&quot; (Draft)</title>
    <dc:date>2008-02-21T19:36:27+00:00</dc:date>
    <link>http://www.illc.uva.nl/HPI/Draft_Learning.pdf</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[To read.  (Valiant, but no Vapnik?)
]]></description>
<dc:subject>machinelearning science inference occams-razor learning statistics</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:bcfcb4675b7b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:inference"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:occams-razor"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arthegall/t:statistics"/>
</rdf:Bag></taxo:topics>
</item>
</rdf:RDF>