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  </channel><item rdf:about="https://www.cs.duke.edu/brd/Teaching/Giving-a-talk/phw.html">
    <title>Patrick Winston - Lecturing Heuristics</title>
    <dc:date>2014-05-12T18:58:32+00:00</dc:date>
    <link>https://www.cs.duke.edu/brd/Teaching/Giving-a-talk/phw.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Use examples, analogies, and exceptions to delineate the concept. ``This is an arch; this is not an arch; this is almost an arch....''

Use verbal punctuation to help people follow your argument. ``This is a bad representation for three reasons: first, it makes nothing explicit ...; second, it is a bad representation because ...; and third ....'' Kennedy used verbal punctuation effectively in the 1960 debates with Nixon even though he numbered his points ``One ..., two ..., two ....''
]]></description>
<dc:subject>learning howto academia</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:d2b38dd56261/</dc:identifier>
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<item rdf:about="http://blog.computationalcomplexity.org/2014/04/how-i-learn-result.html">
    <title>Computational Complexity: How I learn a result</title>
    <dc:date>2014-05-12T17:27:05+00:00</dc:date>
    <link>http://blog.computationalcomplexity.org/2014/04/how-i-learn-result.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[What if you want to read a result, you begin, and its rather hard and/or you need a lot more background? There are several competing schools of thought:

If at first you don't succeed, Try Try Again (credited to  William  Edward   Hickson).
If at first you don't succeed, give up, Then Try Try again. Then quit. There's no point in being a damn fool about it  (credited to W.C. Fields)
If at first you don't succeed then destroy all evidence that you tried.
If at first you don't succeed, skydiving is not for you.
]]></description>
<dc:subject>academia learning howto mathematics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="http://www.quantified-mind.com/">
    <title>Quantified Mind</title>
    <dc:date>2013-09-06T11:09:00+00:00</dc:date>
    <link>http://www.quantified-mind.com/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[web platform to test the correlates of your productivity.]]></description>
<dc:subject>learning mind quantifiedself</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:567f080f583f/</dc:identifier>
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<item rdf:about="http://www.matasano.com/articles/crypto-challenges/">
    <title>Matasano Security - Matasano Web Security Assessments for Enterprises</title>
    <dc:date>2013-07-04T14:46:14+00:00</dc:date>
    <link>http://www.matasano.com/articles/crypto-challenges/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[DIY crypto thinking]]></description>
<dc:subject>cryptography security privacy learning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:c4409afb4573/</dc:identifier>
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<item rdf:about="http://dfflanders.wordpress.com/2013/04/15/resbaz/">
    <title>A new model for Research IT services | David F. Flanders</title>
    <dc:date>2013-04-15T10:42:55+00:00</dc:date>
    <link>http://dfflanders.wordpress.com/2013/04/15/resbaz/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Given that academcis are information workers, should they not have effective and radical ways of making use of the latest tools. And yet is that not precisely what university IT support usually attempts to prevent?]]></description>
<dc:subject>it academia learning</dc:subject>
<dc:source>https://twitter.com/</dc:source>
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<item rdf:about="http://mldemos.b4silio.com/">
    <title>MLDemos - A visualization tool for machine learning</title>
    <dc:date>2013-04-01T15:14:38+00:00</dc:date>
    <link>http://mldemos.b4silio.com/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[understand regression and classification algorithms but visualising them in action]]></description>
<dc:subject>reinforcement_learning visualization gui machinelearning java learning compsci statistics teachmyself</dc:subject>
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<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:reinforcement_learning"/>
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<item rdf:about="http://blog.fsck.com/2012/08/project-rei-toei.html">
    <title>Project: Rei Toei - Massively Parallel Procrastination</title>
    <dc:date>2012-08-13T12:44:31+00:00</dc:date>
    <link>http://blog.fsck.com/2012/08/project-rei-toei.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[A couple weeks ago, I started playing around with PhoneGap. Inside of an hour, I built myself a little JavaScript parrot that could listen to whatever it was that I said, parse it and repeat it back to me. It totalled up at about 5 lines of JS. I briefly considered dropping Eliza or Adventure into the runloop before realizing that what I really wanted was a personal bot on my phone whom I could make more personal.

Rei is stll very, very young. I could use lots and lots of help. Right now, the codebase is very, very simplistic. (That means it's a great time to get involved.) Schuyler's been helping get some NLP going, so that Rei can make choices about how to reply to you something a little more advanced than a lookup table of regexes. Yoz got us the beginings of a test suite, so Rei keeps getting smarter and keeps working.]]></description>
<dc:subject>productivity learning nlp</dc:subject>
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<item rdf:about="http://blog.genyes.org/index.php/2011/04/04/algorithms-and-autonomy/">
    <title>Khan Academy – algorithms and autonomy | Generation YES Blog</title>
    <dc:date>2012-07-26T00:59:55+00:00</dc:date>
    <link>http://blog.genyes.org/index.php/2011/04/04/algorithms-and-autonomy/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[How maths courses designed by maths geniuses could, rather, be better built by pedagogy geniuses.]]></description>
<dc:subject>mind learning</dc:subject>
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    <title>mloss | All entries</title>
    <dc:date>2012-02-26T21:56:17+00:00</dc:date>
    <link>http://mloss.org/software/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA["Open source tools have recently reached a level of maturity which makes them suitable for building large-scale real-world systems. At the same time, the field of machine learning has developed a large body of powerful learning algorithms for a wide range of applications. Inspired by similar efforts in bioinformatics (BOSC) or statistics (useR), our aim is to build a forum for open source software in machine learning."]]></description>
<dc:subject>opensource compsci learning ai machinelearning</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:52e73efa3b91/</dc:identifier>
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<item rdf:about="http://catb.org/esr/faqs/smart-questions.html">
    <title>How To Ask Questions The Smart Way</title>
    <dc:date>2012-01-24T06:05:24+00:00</dc:date>
    <link>http://catb.org/esr/faqs/smart-questions.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[The indispensable reference to getting help without annoying people who might help you.]]></description>
<dc:subject>webdev learning howto</dc:subject>
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<item rdf:about="http://calnewport.com/blog/2010/01/06/the-grandmaster-in-the-corner-office-what-the-study-of-chess-experts-teaches-us-about-building-a-remarkable-life/">
    <title>Study Hacks » Blog Archive » The Grandmaster in the Corner Office: What the Study of Chess Experts Teaches Us about Building a Remarkable Life</title>
    <dc:date>2012-01-23T04:10:49+00:00</dc:date>
    <link>http://calnewport.com/blog/2010/01/06/the-grandmaster-in-the-corner-office-what-the-study-of-chess-experts-teaches-us-about-building-a-remarkable-life/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Gladwell is right when he notes that the 10,000 hour rule keeps appearing as a necessary condition for exceptional performance in many fields. But it’s not sufficient. As Ericsson, along with his colleague Andreas Lehmann, noted in an exceptional overview of this topic,   “the mere number of years of experience with relevant activities in a domain is typically only weakly related to performance.”

...

To understand what else is necessary, I’ll turn your attention to a fascinating 2005 study on chess players, published in the journal Applied Cognitive Psychology. After interviewing two large samples of chess players of varied skill, the paper’s authors found that “serious study“  — the arduous task of reviewing past games of better players, trying to predict each move in advance — was the strongest predictor of chess skill.]]></description>
<dc:subject>learning productivity</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:5bfc8e53c7fe/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:productivity"/>
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</item>
<item rdf:about="http://scienceofmagic.nfshost.com/">
    <title>The Science of Magic Series</title>
    <dc:date>2012-01-17T23:23:57+00:00</dc:date>
    <link>http://scienceofmagic.nfshost.com/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[magic as pedagogy of science. Christopher Brookmyre without the violence.]]></description>
<dc:subject>hps learning magic</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:eef892e54109/</dc:identifier>
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<item rdf:about="http://waffles.sourceforge.net/">
    <title>Waffles</title>
    <dc:date>2011-12-23T21:31:55+00:00</dc:date>
    <link>http://waffles.sourceforge.net/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA["We are trying to do for machine learning what Image Magick has done for image processing. That is, we try to keep it simple by providing a big range of functionality in the form of easy-to-use command-line tools. You are free to mix tools from other packages in with ours. You are free to mix your own custom tools with ours. You are free to write scripts that automate your experiments. You are free to use our tools in ways that we could not foresee."]]></description>
<dc:subject>opensource c++ cli learning ai</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:377d7628721f/</dc:identifier>
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<item rdf:about="http://ankisrs.net/">
    <title>Anki - friendly, intelligent flashcards</title>
    <dc:date>2011-12-09T11:32:24+00:00</dc:date>
    <link>http://ankisrs.net/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[flashcards on the go!]]></description>
<dc:subject>learning flashcards opensource windows osx</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:0c30c1e45c82/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:flashcards"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:windows"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:osx"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.shogun-toolbox.org/">
    <title>shogun | A Large Scale Machine Learning Toolbox</title>
    <dc:date>2011-10-21T05:01:32+00:00</dc:date>
    <link>http://www.shogun-toolbox.org/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[
                
                    includes lots of tasty goodies radiating out from the SVM core, such as generalised markovian model learning, HDF5, string kernels, multi-language bindings and an emphasis on scalability.
                
            ]]></description>
<dc:subject>svm learning ai markov r python matlab</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:0ea6f2999b43/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:svm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:markov"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:r"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:matlab"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.dacya.ucm.es/jam/download.htm">
    <title>Downloads page of Jose Antonio Martin H</title>
    <dc:date>2011-10-17T04:32:33+00:00</dc:date>
    <link>http://www.dacya.ucm.es/jam/download.htm</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[
                
                    
                
            ]]></description>
<dc:subject>python ai learning machine numpy reinforcement_learning</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:b9dd3c1750dd/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:machine"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:numpy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:reinforcement_learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://terrytao.wordpress.com/2007/04/15/ostrowski-lecture-the-uniform-uncertainty-principle-and-compressed-sensing/">
    <title>Ostrowski lecture: The uniform uncertainty principle and compressed sensing « What’s new</title>
    <dc:date>2011-07-25T10:31:07+00:00</dc:date>
    <link>http://terrytao.wordpress.com/2007/04/15/ostrowski-lecture-the-uniform-uncertainty-principle-and-compressed-sensing/</link>
    <dc:creator>howthebodyworks</dc:creator><dc:subject>computer_vision learning statistics GRAMMARTHING grammarface compressed_sensing</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:07cd5a082137/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:computer_vision"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:GRAMMARTHING"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:grammarface"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:compressed_sensing"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.math.ucla.edu/~tao/preprints/sparse.html">
    <title>Compressed sensing</title>
    <dc:date>2011-07-25T10:26:23+00:00</dc:date>
    <link>http://www.math.ucla.edu/~tao/preprints/sparse.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[The uniform uncertainty principle and compressed sensing
]]></description>
<dc:subject>computer_vision learning statistics GRAMMARTHING grammarface compressed_sensing</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:c783c3afb6bd/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:computer_vision"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:GRAMMARTHING"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:grammarface"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:compressed_sensing"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://practicalquant.blogspot.com/2010/10/compressed-sensing-and-big-data.html">
    <title>The Practical Quant: Compressed Sensing and Big Data</title>
    <dc:date>2011-07-25T10:21:45+00:00</dc:date>
    <link>http://practicalquant.blogspot.com/2010/10/compressed-sensing-and-big-data.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Best explanation of this sparse image representation thing that I have yet seen. Well wicked.
]]></description>
<dc:subject>computer_vision learning statistics GRAMMARTHING grammarface compressed_sensing</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:0defc5693cf2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:computer_vision"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:GRAMMARTHING"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:grammarface"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:compressed_sensing"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://lesswrong.com/lw/5a9/learned_blankness/">
    <title>Learned Blankness - Less Wrong</title>
    <dc:date>2011-06-26T06:27:44+00:00</dc:date>
    <link>http://lesswrong.com/lw/5a9/learned_blankness/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[More high-falutin take on learned helplessness: "I felt silly, because I, too, could have reasoned that out.  The water wasn’t draining -- therefore, perhaps the drain was clogged.  Basic rationality in action.[1]

But before giving it even ten seconds’ thought, I’d classified the problem as a “mechanical thing”.  And I’d remembered I “didn’t know how mechanical things worked” (a cached thought).  And then -- prompted by my cached belief that there was a magical “way mechanical things work” that some knew and I didn’t -- I stopped trying to think at all.  

“Mechanical things” was for me a mental stopsign -- a blank domain that stayed blank, because I never asked the obvious next questions (questions like “does the dishwasher look unusual in any way?  Why is there water at the bottom?”).
]]></description>
<dc:subject>mind learning</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:5a7f79f5c834/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mind"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://hunch.net/?p=1822">
    <title>Research Directions for Machine Learning and Algorithms « Machine Learning (Theory)</title>
    <dc:date>2011-06-18T01:10:39+00:00</dc:date>
    <link>http://hunch.net/?p=1822</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[it is not enough to have a language for specifying your prior structural beliefs—instead we must have a language for such which results in computationally tractable solutions.
]]></description>
<dc:subject>learning ai scalability</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:3816182e6f1a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.graphlab.ml.cmu.edu/">
    <title>GraphLab: A New Parallel Framework for Machine Learning</title>
    <dc:date>2011-06-14T11:29:34+00:00</dc:date>
    <link>http://www.graphlab.ml.cmu.edu/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[mapreduce alternative thingy for distributed nodes
]]></description>
<dc:subject>mapreduce scalability concurrency c++ java jython networks opensource learning ai</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:4c76b90f1a76/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mapreduce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:concurrency"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:c++"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:java"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:jython"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://norvig.com/chomsky.html">
    <title>On Chomsky and the Two Cultures of Statistical Learning</title>
    <dc:date>2011-05-28T04:45:07+00:00</dc:date>
    <link>http://norvig.com/chomsky.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA["And while it may seem crass and anti-intellectual to consider a financial measure of success, it is worth noting that the intellectual offspring of Shannon's theory create several trillion dollars of revenue each year, while the offspring of Chomsky's theories generate well under a billion."
]]></description>
<dc:subject>nlp statisics learning ai</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:97421cef0388/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:statisics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://mlpy.fbk.eu/data/doc/">
    <title>mlpy Documentation — mlpy v2.2.2 documentation</title>
    <dc:date>2011-04-26T13:50:26+00:00</dc:date>
    <link>https://mlpy.fbk.eu/data/doc/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[mlpy is a high-performance Python package for predictive modeling. It makes extensive use of NumPy (http://scipy.org) to provide fast N-dimensional array manipulation and easy integration of C code. mlpy provides high level procedures that support, with few lines of code, the design of rich Data Analysis Protocols (DAPs) for preprocessing, clustering, predictive classification, regression and feature selection. Methods are available for feature weighting and ranking, data resampling, error evaluation and experiment landscaping. The package includes tools to measure stability in sets of ranked feature lists.
]]></description>
<dc:subject>python learning ai classification numpy</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:95978fbbfb34/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:classification"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:numpy"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://research.cs.wisc.edu/hazy/tuffy/">
    <title>Tuffy | A Scalable MLN Inference Engine</title>
    <dc:date>2011-04-24T00:55:34+00:00</dc:date>
    <link>http://research.cs.wisc.edu/hazy/tuffy/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Markov Logic Networks (MLNs) is a framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including information extraction, entity resolution, text mining, and natural language processing....
...The current version (0.2) of Tuffy is capable of the following MLN tasks:
MAP inference, where we want to find out the most likely possible world;Marginal inference, where we want to estimate marginal probabilities;Weight learning, where we want to learn the weights of MLN rules given training data.Furthermore, Tuffy provides the following functionalities beyond the realm of MLNs:
Datalog: In addition to MLN rules, you can also execute Datalog rules in Tuffy.Functions: Tuffy comes with a library of common numeric/string/boolean functions, which can be used inside an MLN rule. In particular, you can perform arithmetic manipulation and comparison in MLN rules.
]]></description>
<dc:subject>java nlp learning ai markov networks grammarthing logic</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:8a4d56bc2e7e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:java"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:markov"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:networks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:grammarthing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:logic"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://tfinley.net/software/svmpython2/">
    <title>SVM-python</title>
    <dc:date>2011-04-12T00:20:18+00:00</dc:date>
    <link>http://tfinley.net/software/svmpython2/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[what it says
]]></description>
<dc:subject>svm python learning ai</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:a69770a64cbd/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:svm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://supermegaultragroovy.com/products/Capo/">
    <title>Capo - Learn Your Music</title>
    <dc:date>2011-04-06T03:54:22+00:00</dc:date>
    <link>http://supermegaultragroovy.com/products/Capo/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Capo is a revolutionary tool that helps you learn the music in your iTunes library. By slowing your music, and presenting a detailed spectrogram, Capo lets you hear and see your music like never before.
]]></description>
<dc:subject>learning loom music</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:5d163c444014/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:loom"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:music"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/jbrownlee/CleverAlgorithms%23readme">
    <title>jbrownlee/CleverAlgorithms - GitHub</title>
    <dc:date>2011-04-06T02:32:13+00:00</dc:date>
    <link>https://github.com/jbrownlee/CleverAlgorithms%23readme</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[The Clever Algorithms project is an effort to describe a large number of algorithmic techniques from the the field of Artificial Intelligence in a complete, consistent, and centralized manner such that they are accessible, usable, and understandable.

The Clever Algorithms project is currently hosted online at http://www.CleverAlgorithms.com

This is a repository for the Clever Algorithms: Nature-Inspired Programming Recipes project for hosting, versioning, and collaboration, used during the development of the content for deliverables (website and book), as well as for the ongoing maintenance of the outcomes from the project.
]]></description>
<dc:subject>ruby ai learning evolution</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:38c2b4874bfc/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ruby"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:evolution"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://elefant.developer.nicta.com.au/">
    <title>Welcome to Elefant — Elefant</title>
    <dc:date>2011-03-28T00:25:56+00:00</dc:date>
    <link>http://elefant.developer.nicta.com.au/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[machine learning in python, courtesy NICTA again
]]></description>
<dc:subject>python ui ai learning</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:f917664731c6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ui"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.admittingfailure.com/">
    <title>Admitting Failure</title>
    <dc:date>2011-01-27T14:55:51+00:00</dc:date>
    <link>http://www.admittingfailure.com/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[destigmatizing failure for fun and profit
]]></description>
<dc:subject>crisis complexity learning development engineering ngo</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:ec7abe0da2f3/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:crisis"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:complexity"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:development"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:engineering"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ngo"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://bonsai.hgc.jp/~mdehoon/software/cluster/">
    <title>Open source Clustering software</title>
    <dc:date>2010-10-31T09:56:29+00:00</dc:date>
    <link>http://bonsai.hgc.jp/~mdehoon/software/cluster/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA["k-means clustering, hierarchical clustering and self-organizing maps"

designed for genetic data, but no reason to stick to that. perl, python, c, c++ bindings.
]]></description>
<dc:subject>classification clustering python learning academic ai</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:f139948943ed/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:classification"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:clustering"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:academic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://sites.google.com/a/hydroteq.com/www/">
    <title>Harmony Search Algorithm</title>
    <dc:date>2010-10-31T09:52:54+00:00</dc:date>
    <link>http://sites.google.com/a/hydroteq.com/www/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[alternative take on the genetic search technique designed to mimic the behaviours of improvising musicians rather than the success and failues of genotypes. Sounds interesting both as a technique and a model.
]]></description>
<dc:subject>learning genetic ai optimization agents</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:21b20bfe0bb1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:genetic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:optimization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:agents"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.assystcomplexity.eu/">
    <title>ASSYST - Action for the Science of complex SYstems and Socially intelligent icT</title>
    <dc:date>2010-10-26T06:56:50+00:00</dc:date>
    <link>http://www.assystcomplexity.eu/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[All the buzzwords I do at once.
]]></description>
<dc:subject>technology ui complexity agents learning ai collaborative</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:94f82e239147/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:technology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ui"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:complexity"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:agents"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:collaborative"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.soars.jp/en/index.html">
    <title>HOME | SOARS Project</title>
    <dc:date>2010-10-19T00:20:59+00:00</dc:date>
    <link>http://www.soars.jp/en/index.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[coding for semi intelligent agents for the "non programmer".
]]></description>
<dc:subject>agents games ai learning swarm</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:bf8df0d44ae9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:agents"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:games"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:swarm"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://ccsl.mae.cornell.edu/eureqa">
    <title>Eureqa | Cornell Computational Synthesis Laboratory</title>
    <dc:date>2010-10-04T23:26:56+00:00</dc:date>
    <link>http://ccsl.mae.cornell.edu/eureqa</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[it's the page of that  trendy work-out-your-laws-for-you package
]]></description>
<dc:subject>ai learning academic methodology datamining genetic parsimony statistics</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:4347b90e84f5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:academic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:methodology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:genetic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:parsimony"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:statistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.generation5.org/">
    <title>generation5 - At the forefront of Artificial Intelligence</title>
    <dc:date>2010-09-24T04:37:02+00:00</dc:date>
    <link>http://www.generation5.org/</link>
    <dc:creator>howthebodyworks</dc:creator><dc:subject>ai collaborative learning compsci game</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:915952f310fb/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:collaborative"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:compsci"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:game"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www2.econ.iastate.edu/tesfatsi/ace.htm">
    <title>Agent-Based Computational Economics (Tesfatsion)</title>
    <dc:date>2010-09-21T03:53:13+00:00</dc:date>
    <link>http://www2.econ.iastate.edu/tesfatsi/ace.htm</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[The Agent-based computational Economics mothership is truly here. Tesfatsion ♥♥♥
]]></description>
<dc:subject>agents economics distributed ai learning howto simulation phd</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:bb86c96e4462/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:agents"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:economics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:distributed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:howto"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:simulation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:phd"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://stackexchange.com/">
    <title>Stack Exchange - Free, Community-Powered Q&amp;A</title>
    <dc:date>2010-09-20T01:37:58+00:00</dc:date>
    <link>http://stackexchange.com/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[teh stackexchange mega hub, whee the diaspora of questionably integrate sites that look a bit like the amazing stackoverflow.com site hang out and share expertise.
]]></description>
<dc:subject>q&amp;a collaborative search learning knowledge</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:7dacc6674741/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:q&amp;a"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:collaborative"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:search"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:knowledge"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.quora.com/">
    <title>Home - Quora</title>
    <dc:date>2010-09-20T01:05:12+00:00</dc:date>
    <link>http://www.quora.com/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[another Q&A site. unlike stackexchange it doesn't artificially segment communities but lets topics organically grow. unlike vark.com it emphasises collaboration and reputation, and integrates a bit better with social media. And there are lots of nerds i know on it. interesting.
]]></description>
<dc:subject>collaborative search knowledge learning academic crowdsourcing q&amp;a</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:ee86c40d00eb/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:collaborative"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:search"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:knowledge"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:academic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:crowdsourcing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:q&amp;a"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://polymathprojects.org/">
    <title>The polymath blog</title>
    <dc:date>2010-09-18T23:57:19+00:00</dc:date>
    <link>http://polymathprojects.org/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[extracting nerds from their shells
]]></description>
<dc:subject>collaborative mathematics learning</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:99ddcfdb70d1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:collaborative"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://fold.it/portal/">
    <title>Solve Puzzles for Science | Foldit</title>
    <dc:date>2010-09-18T23:38:11+00:00</dc:date>
    <link>http://fold.it/portal/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA["For protein structure prediction, the eventual goal is to have human folders work on proteins that do not have a known structure. This would require first attracting the attention of scientists and biotech companies and convincing them that the process is effective. Another goal is to take folding strategies that  human players have come up with while playing the game, and automate these strategies to make protein-prediction software more effective. These two goals are more or less independent and either or both may happen."
]]></description>
<dc:subject>games science collaborative learning bioinformatics crowdsourcing terry</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:fe2c12813538/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:games"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:collaborative"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:bioinformatics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:crowdsourcing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:terry"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://lesswrong.com/lw/2p5/humans_are_not_automatically_strategic/">
    <title>Less Wrong: Humans are not automatically strategic</title>
    <dc:date>2010-09-09T00:45:05+00:00</dc:date>
    <link>http://lesswrong.com/lw/2p5/humans_are_not_automatically_strategic/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[interesting points in here about how to learn to learn to be efficient.
]]></description>
<dc:subject>rationality learning productivity</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:095eb294ad0c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:rationality"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:productivity"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://onlineprediction.net/">
    <title>on-line prediction wiki - Wiki for On-Line Prediction</title>
    <dc:date>2010-09-08T04:10:24+00:00</dc:date>
    <link>http://onlineprediction.net/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[learning in the game-theoretic statistical framework of vovk and shafer
]]></description>
<dc:subject>statistics ai learning methodology hps phd</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:9879a068fb6c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:methodology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:hps"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:phd"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://mathteacherorstudent.blogspot.com/2010/09/habits-of-mind.html">
    <title>Without Geometry, Life is Pointless: Habits of Mind</title>
    <dc:date>2010-09-08T00:48:08+00:00</dc:date>
    <link>http://mathteacherorstudent.blogspot.com/2010/09/habits-of-mind.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[think of it as "direct strategies".
]]></description>
<dc:subject>productivity mathematics learning mind</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:2142a093373e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:productivity"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mind"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://bricolabs.net/">
    <title>Bricolabs shared network — Bricolabs</title>
    <dc:date>2010-07-20T14:23:26+00:00</dc:date>
    <link>http://bricolabs.net/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[A distributed network for global and local development of generic infrastructures incrementally developed by communities.

A global platform to investigate the new loop of open content, software and hardware for community applications, bringing people together with new technologies and distributed connectivity, unlike the dominant focus of IT industry on security, surveillance and monopoly of information and infrastructures.
]]></description>
<dc:subject>sustainability opensource community development learning diy</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:f45a3534e9e6/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:sustainability"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:community"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:development"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:diy"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.gaussianprocess.org/gpml/chapters/">
    <title>Gaussian Processes for Machine Learning: Contents</title>
    <dc:date>2010-06-28T16:49:39+00:00</dc:date>
    <link>http://www.gaussianprocess.org/gpml/chapters/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[bayesian modelling textbook is online
]]></description>
<dc:subject>bayes learning information_theory academic openaccess</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:920033a238f2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:bayes"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:information_theory"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:academic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:openaccess"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://topics.nytimes.com/top/opinion/series/steven_strogatz_on_the_elements_of_math/index.html">
    <title>Steven Strogatz on the Elements of Math - Series - The New York Times</title>
    <dc:date>2010-06-15T18:07:36+00:00</dc:date>
    <link>http://topics.nytimes.com/top/opinion/series/steven_strogatz_on_the_elements_of_math/index.html</link>
    <dc:creator>howthebodyworks</dc:creator><dc:subject>howto math mathematics chaos learning</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:5a9062d135d4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:howto"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:math"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:chaos"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.j-lab.org/">
    <title>J-Lab : The Institute for Interactive Journalism</title>
    <dc:date>2010-06-13T05:33:41+00:00</dc:date>
    <link>http://www.j-lab.org/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA["J-Lab helps journalists and citizens use digital technologies to develop new ways for people to participate in public life with projects on innovations in journalism, citizen media, news games, interactive stories, entrepreneurship, research, training, and publications."
]]></description>
<dc:subject>games journalism meedyameedya visualization howto learning narrative</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:734d19d2f516/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:games"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:journalism"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:meedyameedya"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:howto"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:narrative"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://code.google.com/p/peach/">
    <title>peach - Project Hosting on Google Code</title>
    <dc:date>2010-06-10T21:29:27+00:00</dc:date>
    <link>http://code.google.com/p/peach/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA["Peach is a pure-python module, based on SciPy and NumPy to implement algorithms for computational intelligence and machine learning. Methods implemented include, but are not limited to, artificial neural networks, fuzzy logic, genetic algorithms, swarm intelligence and much more."
]]></description>
<dc:subject>learning ai statistics genetic python agents</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:647a6af5c8cb/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:genetic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:agents"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://scholarlykitchen.sspnet.org/2010/05/08/the-cognitive-bias-song/">
    <title>Education Set to Music: The Cognitive Bias Song « The Scholarly Kitchen</title>
    <dc:date>2010-05-09T09:29:20+00:00</dc:date>
    <link>http://scholarlykitchen.sspnet.org/2010/05/08/the-cognitive-bias-song/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[how to remember your cognitive biases, in musical form
]]></description>
<dc:subject>mind music learning</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:05268d1d521f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mind"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:music"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://mark.reid.name/iem/upcoming-alt-ds.html">
    <title>Upcoming ALT and DS Conferences ← Inductio Ex Machina</title>
    <dc:date>2010-04-22T07:39:15+00:00</dc:date>
    <link>http://mark.reid.name/iem/upcoming-alt-ds.html</link>
    <dc:creator>howthebodyworks</dc:creator><dc:subject>mind learning compsci ai australia</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:32ceb58fd8dd/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mind"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:compsci"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:australia"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://softwarecarpentry.wordpress.com/2010/04/12/more-on-instructional-design/">
    <title>More on Instructional Design</title>
    <dc:date>2010-04-13T07:06:05+00:00</dc:date>
    <link>http://softwarecarpentry.wordpress.com/2010/04/12/more-on-instructional-design/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[unguided exploration apparently is lame. Is this pedagogic point new only to me?
]]></description>
<dc:subject>mind learning compsci coding</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:b8beb5b45f79/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mind"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:compsci"/>
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</item>
<item rdf:about="http://googleresearch.blogspot.com/2010/03/hopping-on-face-manifold-via-people.html?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A%20blogspot%2FgJZg%20(Official%20Google%20Research%20Blog)">
    <title>Official Google Research Blog: Hopping on a Face Manifold via People Hopper</title>
    <dc:date>2010-03-04T05:18:33+00:00</dc:date>
    <link>http://googleresearch.blogspot.com/2010/03/hopping-on-face-manifold-via-people.html?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A%20blogspot%2FgJZg%20(Official%20Google%20Research%20Blog)</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[a sketch of the process of learning the human face manifold by google
]]></description>
<dc:subject>ai learning mathematics</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:4a29635801ea/</dc:identifier>
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<item rdf:about="http://googleresearch.blogspot.com/2010/03/hopping-on-face-manifold-via-people.html?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A_blogspot%2FgJZg_(Official_Google_Research_Blog)">
    <title>Official Google Research Blog: Hopping on a Face Manifold via People Hopper</title>
    <dc:date>2010-03-04T05:18:33+00:00</dc:date>
    <link>http://googleresearch.blogspot.com/2010/03/hopping-on-face-manifold-via-people.html?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A_blogspot%2FgJZg_(Official_Google_Research_Blog)</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[a sketch of the process of learning the human face manifold by google
]]></description>
<dc:subject>ai learning mathematics</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:80e07a923237/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
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</item>
<item rdf:about="http://www.flatworldknowledge.com/">
    <title>Welcome | Flat World Knowledge</title>
    <dc:date>2010-02-23T19:20:35+00:00</dc:date>
    <link>http://www.flatworldknowledge.com/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[creative-commons remixable, print-on-demand academic textbooks. So device neutral that they even handle physical books.
]]></description>
<dc:subject>creativecommons opensource printing academic learning ebook</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:b20de1f7f7d3/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:printing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:academic"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ebook"/>
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<item rdf:about="http://softwarecarpentry.wordpress.com/2010/01/07/new-challenges/">
    <title>New Challenges</title>
    <dc:date>2010-01-12T15:38:54+00:00</dc:date>
    <link>http://softwarecarpentry.wordpress.com/2010/01/07/new-challenges/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA["What I’d most like to do next is spend a year working full-time on the Software Carpentry course—of all the things I’ve done, it’s the one that I think has the most potential to make scientists’ lives better. My goal is to raise approximately CDN$25,000 from each of half a dozen sponsors so that I can reorganize and revamp the content, add screencasts and video lectures, and generally drag it into the 21st Century. An abbreviated proposal is included below the cut—if you or anyone you know would be interested in discussing possibilities, please give me a shout."
]]></description>
<dc:subject>academic compsc education learning scm collaborative</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:1e4bd688d421/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:education"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:collaborative"/>
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<item rdf:about="http://shorttermmemoryloss.com/menace/">
    <title>A New Theory of Awesomeness and Miracles, by James Bridle, concerning Charles Babbage, Heath Robinson, MENACE and MAGE</title>
    <dc:date>2009-12-03T21:58:24+00:00</dc:date>
    <link>http://shorttermmemoryloss.com/menace/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[awesome analog hack: an AI that learns noughts-and-crosses, made out of matchboxes and beans
]]></description>
<dc:subject>learning ai diy mathematics statistics history</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:f57ebd8c470f/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mathematics"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:history"/>
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</item>
<item rdf:about="http://www.springerlink.com/content/y3v02411x7167l70/">
    <title>SpringerLink - Journal Article</title>
    <dc:date>2009-11-10T04:08:15+00:00</dc:date>
    <link>http://www.springerlink.com/content/y3v02411x7167l70/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[1 dimension exhaustive clustering
]]></description>
<dc:subject>statistics agnsw clustering learning</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:ac7a8c306679/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:agnsw"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:clustering"/>
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</item>
<item rdf:about="http://blog.futurestreetconsulting.com/?p=211">
    <title>Nexus | the human network</title>
    <dc:date>2009-10-29T04:30:27+00:00</dc:date>
    <link>http://blog.futurestreetconsulting.com/?p=211</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Pesky Pesce on learning 2.0-wise
]]></description>
<dc:subject>learning education collaborative web2.0 netcultures</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:bb8c76460914/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:collaborative"/>
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</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://programmingpraxis.com/">
    <title>Programming Praxis</title>
    <dc:date>2009-10-27T02:11:58+00:00</dc:date>
    <link>http://programmingpraxis.com/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[5 easy pieces to practice your code. Except that its actually thousands of easy pieces. and some of them are in fact wacky logical puzzles. (warning - there may be subliminal ads in here for haskell)
]]></description>
<dc:subject>compsci coding geek learning</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:21e1a3de1289/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:coding"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:geek"/>
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</item>
<item rdf:about="http://meganpoore.com/blog/">
    <title>Blog « MeganPoore.com</title>
    <dc:date>2009-10-16T01:28:11+00:00</dc:date>
    <link>http://meganpoore.com/blog/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Megan seems to have some interest in getting the education internetted
]]></description>
<dc:subject>education learning academic web2.0 collaborative</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:1e8c211ed586/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:academic"/>
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</item>
<item rdf:about="http://mathoverflow.net/">
    <title>Math Overflow</title>
    <dc:date>2009-10-13T02:59:35+00:00</dc:date>
    <link>http://mathoverflow.net/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[stack overflow, but for maths. There is support for answer bounties, supposedly. (Millennium prize lite?)
]]></description>
<dc:subject>collaborative mathematics geometry statistics learning academic</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:95cab8dc4c0c/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:geometry"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:academic"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://abeautifulwww.com/2009/10/11/guide-to-getting-started-in-machine-learning/">
    <title>Guide to Getting Started in Machine Learning | A Beautiful WWW</title>
    <dc:date>2009-10-12T23:05:54+00:00</dc:date>
    <link>http://abeautifulwww.com/2009/10/11/guide-to-getting-started-in-machine-learning/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Instant guid to getting started with machine learning
]]></description>
<dc:subject>learning ai howto phd geek nlp statistics r</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:af8625555b6f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:howto"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:phd"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:geek"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:r"/>
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</item>
<item rdf:about="http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/2530/2303">
    <title>Lisa M. Lane: Insidious pedagogy: How course management systems affect teaching by Lisa M. Lane</title>
    <dc:date>2009-10-08T09:51:45+00:00</dc:date>
    <link>http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/2530/2303</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[What's wrong with blackboard (pt 1)
]]></description>
<dc:subject>learning cms education webdev ui academic design</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:8e0a56bad7a1/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:cms"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:education"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:webdev"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ui"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:academic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:design"/>
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</item>
<item rdf:about="http://communiteach.com/">
    <title>CommuniTeach: Teach what you know, learn something new, connect with your community</title>
    <dc:date>2009-09-19T04:29:41+00:00</dc:date>
    <link>http://communiteach.com/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[kind of an equivalent of LETS for learning, online. swap lessons for lessons
]]></description>
<dc:subject>learning collaborative community</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:093f4003854b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:collaborative"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:community"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://hunch.net/~vw/">
    <title>Vowpal Wabbit (Fast Online Learning)</title>
    <dc:date>2009-06-22T00:38:40+00:00</dc:date>
    <link>http://hunch.net/~vw/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[There are two ways to have a fast learning algorithm: (a) start with a slow algorithm and speed it up, or (b) build an intrinsically fast learning algorithm. This project is about approach (b), and it's reached a state where it may be useful to others as a platform for research and experimentation.

There are two algorithms, one implementing specialist gradient descent (GD) on squared loss and the other implementing specialist exponentiated gradient descent (SEG) on squared loss.
]]></description>
<dc:subject>learning ai statistics compsci scalability</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:c148c04461ed/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:compsci"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:scalability"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://cci.mit.edu/index.html">
    <title>MIT Center for Collective Intelligence</title>
    <dc:date>2009-04-02T03:43:24+00:00</dc:date>
    <link>http://cci.mit.edu/index.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[collective decision making considered as an engineering problem.
]]></description>
<dc:subject>schmooze academic distributed collaborative technology knowledge learning crowdsourcing via:miriaml</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:988f487d967e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:schmooze"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:academic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:distributed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:collaborative"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:technology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:knowledge"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:crowdsourcing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:via:miriaml"/>
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</item>
<item rdf:about="http://scripts.mit.edu/~cci/HCI/index.php?title=Main_Page">
    <title>Main Page - Handbook of Collective Intelligence</title>
    <dc:date>2009-04-01T11:15:20+00:00</dc:date>
    <link>http://scripts.mit.edu/~cci/HCI/index.php?title=Main_Page</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[the editiable wiki of MIT's collective intelligence thing.
]]></description>
<dc:subject>citeulike wiki distributed mind learning academic schmooze</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:f013b5b18e19/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:citeulike"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:wiki"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:distributed"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mind"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:academic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:schmooze"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://vark.com/">
    <title>Aardvark</title>
    <dc:date>2009-03-19T03:38:17+00:00</dc:date>
    <link>http://vark.com/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[social question answering, where you trade answering questions for answers to questions. fast and interacts with mobile devices, IM, etc, and found me the best pastries in Adelaide.
]]></description>
<dc:subject>social community knowledge web2.0 q&amp;a collaborative search learning crowdsourcing</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:e4a71057fabc/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:web2.0"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:q&amp;a"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:collaborative"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:search"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:crowdsourcing"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blog.makezine.com/archive/2009/01/javascript_captcha_decoder.html">
    <title>Make: Online : Javascript CAPTCHA decoder</title>
    <dc:date>2009-03-19T03:00:52+00:00</dc:date>
    <link>http://blog.makezine.com/archive/2009/01/javascript_captcha_decoder.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[amazing - a javascript -based neural network doing OCR in the browser. facebook email extraction, anyone?
]]></description>
<dc:subject>javascript neuron learning ocr greasemonkey captcha</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:f2ed60a022d4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:javascript"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:neuron"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ocr"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:greasemonkey"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:captcha"/>
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</rdf:RDF>