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    <dc:date>2012-02-26T21:56:17+00:00</dc:date>
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    <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>
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    <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://legitmix.com/">
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    <dc:date>2011-11-25T22:13:07+00:00</dc:date>
    <link>http://legitmix.com/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Amazing. The machine learning that has gone into allowing ppl to own remixes - this thing reverse engineers a mix into component parts, allow you, as the listener to buy the parts, then reconstructs it for you, using your personal right to remix.]]></description>
<dc:subject>ip mp3 copyright ai</dc:subject>
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<item rdf:about="http://radar.oreilly.com/2011/11/automated-writing-software.html">
    <title>How I automated my writing career - O'Reilly Radar</title>
    <dc:date>2011-11-21T04:02:59+00:00</dc:date>
    <link>http://radar.oreilly.com/2011/11/automated-writing-software.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[a growth industry: automating the production of journalism, books, textual content]]></description>
<dc:subject>nlp writing ai statistics journalism</dc:subject>
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    <title>shogun | A Large Scale Machine Learning Toolbox</title>
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    <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.
                
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    <title>Downloads page of Jose Antonio Martin H</title>
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    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[
                
                    
                
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<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>
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<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>
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    <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>
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    <title>On Chomsky and the Two Cultures of Statistical Learning</title>
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    <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>
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<dc:identifier>https://pinboard.in/u:howthebodyworks/b:97421cef0388/</dc:identifier>
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<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>
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    <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>
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<item rdf:about="http://tfinley.net/software/svmpython2/">
    <title>SVM-python</title>
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    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[what it says
]]></description>
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<item rdf:about="https://github.com/jbrownlee/CleverAlgorithms%23readme">
    <title>jbrownlee/CleverAlgorithms - GitHub</title>
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    <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>
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<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://mdp-toolkit.sourceforge.net/">
    <title>Homepage — Modular toolkit for Data Processing (MDP)</title>
    <dc:date>2011-03-25T12:47:04+00:00</dc:date>
    <link>http://mdp-toolkit.sourceforge.net/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[sweet looking machine learning toolchain for python
]]></description>
<dc:subject>python statistics ai</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:6d365a6a44fc/</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:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://madlib.net/">
    <title>MADlib</title>
    <dc:date>2011-03-15T07:22:18+00:00</dc:date>
    <link>http://madlib.net/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[statiscial analysis on your database contents:  "MADlib is an open-source library for scalable in-database analytics. It provides data-parallel implementations of mathematical, statistical and machine learning methods for structured and unstructured data". Seems to be largely in PL/C, with some bonus python on the front.
]]></description>
<dc:subject>python statistics postgresql sql db greenplum mapreduce ai classification</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:6113a7417356/</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:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:postgresql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:sql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:db"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:greenplum"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mapreduce"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:classification"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://ai.eecs.umich.edu/cogarch2/specific/soar.html">
    <title>SOAR</title>
    <dc:date>2010-11-19T05:44:07+00:00</dc:date>
    <link>http://ai.eecs.umich.edu/cogarch2/specific/soar.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA["The SOAR project was started at CMU by Newell, Laird and Rosenbloom as a testbed for Newell's theories of cognition.

Keeping with Newell's definition of intelligence as the ability to use ones knowledge to achieve ones goals, SOAR was designed to use all of its knowledge on each problem. There is one main memory structure into which all long-term memories are to fit. All queries use all of it."
]]></description>
<dc:subject>agents ai compsci</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:f3a3d902c47a/</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:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:compsci"/>
</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="https://docs.google.com/present/view?id=df7rw7vz_338cz6ngnd6">
    <title>the creative internet (106 things)</title>
    <dc:date>2010-10-17T23:48:12+00:00</dc:date>
    <link>https://docs.google.com/present/view?id=df7rw7vz_338cz6ngnd6</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[user interface crowdsourcing New Media porn
]]></description>
<dc:subject>grammarthing ai alife crowdsourcing ui design html5 interface vid video presentation newmedia</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:8ce659ba772b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:grammarthing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:alife"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:crowdsourcing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ui"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:html5"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:interface"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:vid"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:video"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:presentation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:newmedia"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.gp-field-guide.org.uk/">
    <title>A Field Guide to Genetic Programming</title>
    <dc:date>2010-10-06T03:59:09+00:00</dc:date>
    <link>http://www.gp-field-guide.org.uk/</link>
    <dc:creator>howthebodyworks</dc:creator><dc:subject>howto genetic evolution algorithm ebook ai gramarthing</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:12f2d7389b93/</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:genetic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:evolution"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:algorithm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ebook"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:gramarthing"/>
</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://opencv.willowgarage.com/wiki/">
    <title>Welcome - OpenCV Wiki</title>
    <dc:date>2010-09-23T03:16:15+00:00</dc:date>
    <link>http://opencv.willowgarage.com/wiki/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[open computer vision library. originally spawned by IBM and now released into the world for realtime blob mangling and smooth lattice deformation fun.
]]></description>
<dc:subject>ai computer_vision python c++ opensource grammarthing grammarface</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:02b0919977b7/</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:computer_vision"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:c++"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:grammarthing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:grammarface"/>
</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://www.red3d.com/cwr/evolve.html">
    <title>Evolutionary Computation</title>
    <dc:date>2010-09-19T08:27:41+00:00</dc:date>
    <link>http://www.red3d.com/cwr/evolve.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[aging but provocative list of evolutionary art projects, well curated but without analysis.
]]></description>
<dc:subject>ai alife biology chaos complexity art evolution</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:d3e84c41054b/</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:alife"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:biology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:chaos"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:complexity"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:art"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:evolution"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://grammidity.sourceforge.net/">
    <title>Grammidity</title>
    <dc:date>2010-09-19T08:12:49+00:00</dc:date>
    <link>http://grammidity.sourceforge.net/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA["This is a genetic programming system based on the idea of using a kind of grammar as the underlying gene. Grammars are stored in a raw format, then parsed into productions. Those productions are expanded. The resulting strings are then evaluated (usually in a kind of basic stack machine) and the evaluations rated and evolved.

This version is rather raw. It is usable pretty much only by someone who wants to hack around in the innards - it is probably completely unusable by anyone who is not a java programmer at the moment. The GUI works for me (more or less - there are a few oddities having to do with the way and when it redisplays) but then I'm more interested in playing with the code and the evolutionary process than with building a pretty gui. Comments about the ugliness of the code will be cheerfully ignored"
]]></description>
<dc:subject>grammarthing ai 3d grammar</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:9abab0fd15d4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:grammarthing"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:3d"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:grammar"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://code.google.com/p/ecspy/">
    <title>ecspy - Project Hosting on Google Code</title>
    <dc:date>2010-09-19T07:58:31+00:00</dc:date>
    <link>http://code.google.com/p/ecspy/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[bigger, enterprisier, buzzwordier python evolutionary library. seems pure GA as opp GP, but with tasty operators, visualisation, and parallelisation support
]]></description>
<dc:subject>algorithm evolution genetic python ga ai concurrency visualization grammarthing</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:f3b8ef0451c2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:algorithm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:evolution"/>
	<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:ga"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:concurrency"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:grammarthing"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://launchpad.net/evolver">
    <title>Genetic Programming for Python in Launchpad</title>
    <dc:date>2010-09-19T07:49:37+00:00</dc:date>
    <link>https://launchpad.net/evolver</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[the only DVCS python GP library. pity it looks dead.
]]></description>
<dc:subject>python genetic evolution ai</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:a7d4ee633efb/</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:genetic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:evolution"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&amp;tid=12433&amp;mode=toc">
    <title>Artificial Life XII - Table of Contents - The MIT Press</title>
    <dc:date>2010-09-19T05:46:17+00:00</dc:date>
    <link>http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&amp;tid=12433&amp;mode=toc</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[wow, the whole conference proceedings are online and there are some ripper papers in there
]]></description>
<dc:subject>ai alife academic phd</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:8878223bc90f/</dc:identifier>
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</item>
<item rdf:about="http://github.com/Vaguery/Answer-Factory">
    <title>Vaguery's Answer-Factory at master - GitHub</title>
    <dc:date>2010-09-18T09:45:41+00:00</dc:date>
    <link>http://github.com/Vaguery/Answer-Factory</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA["Answer Factory: A system for pragmatic genetic programming projects"

include turing complete DSL, image processing and so on
]]></description>
<dc:subject>ai ruby genetic</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:4f51fe111bd7/</dc:identifier>
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</item>
<item rdf:about="http://jgprog.sourceforge.net/">
    <title>Groovy Java Genetic Programming</title>
    <dc:date>2010-09-18T09:32:53+00:00</dc:date>
    <link>http://jgprog.sourceforge.net/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[highest linked-GP toolkit has unspecified link to groovy. Is that the adjective or the noun, i'd like to know? Anyway, it's dead since 2006, so this link is purely so that i can remember *not* to use it.
]]></description>
<dc:subject>groovy java genetic compsci ai opensource</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:8e05b0e592f5/</dc:identifier>
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</item>
<item rdf:about="http://scikit-learn.sourceforge.net/">
    <title>Scikits.learn: machine learning in Python — scikits.learn v0.5-git documentation</title>
    <dc:date>2010-09-18T07:41:28+00:00</dc:date>
    <link>http://scikit-learn.sourceforge.net/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[SVM, bayesian, neural etc learning algorithms for python+scipy
]]></description>
<dc:subject>ai classification python opensource scipy neuron</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:121011f51c17/</dc:identifier>
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<item rdf:about="http://bingweb.binghamton.edu/~sayama/SwarmChemistry/">
    <title>Swarm Chemistry Homepage</title>
    <dc:date>2010-09-15T23:13:56+00:00</dc:date>
    <link>http://bingweb.binghamton.edu/~sayama/SwarmChemistry/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[actually evolving rules in an agent based model. good times.
]]></description>
<dc:subject>agents phd ai swarm java genetic via:mtchl</dc:subject>
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<item rdf:about="http://www.freenet.org.nz/python/pygene/">
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    <link>http://www.freenet.org.nz/python/pygene/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[simple, good but unmaintained, VCS-less python genetic programming library. A pity; it looks like the lightest most pythonic one IMO.
]]></description>
<dc:subject>ai genetic python opensource</dc:subject>
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<item rdf:about="http://pyevolve.sourceforge.net/">
    <title>Welcome to Pyevolve documentation ! — Pyevolve v0.5 documentation</title>
    <dc:date>2010-09-15T22:55:28+00:00</dc:date>
    <link>http://pyevolve.sourceforge.net/</link>
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</item>
<item rdf:about="http://onlineprediction.net/">
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    <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>
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<item rdf:about="http://wiki.musichackday.org/index.php?title=Future_Of_Music">
    <title>Future Of Music - Music Hack Day</title>
    <dc:date>2010-09-07T07:59:51+00:00</dc:date>
    <link>http://wiki.musichackday.org/index.php?title=Future_Of_Music</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[deletes all the music from your library which is not cool enough for you
]]></description>
<dc:subject>osx itunes collaborative recommendation social echonest ai classification</dc:subject>
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<item rdf:about="http://www.miller-mccune.com/culture-society/triumph-of-the-cyborg-composer-8507/">
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    <link>http://www.miller-mccune.com/culture-society/triumph-of-the-cyborg-composer-8507/</link>
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<item rdf:about="http://acodersmusings.blogspot.com/2009/07/curve-fitting-with-pyevolve.html">
    <title>Curve fitting with Pyevolve</title>
    <dc:date>2010-08-24T11:19:53+00:00</dc:date>
    <link>http://acodersmusings.blogspot.com/2009/07/curve-fitting-with-pyevolve.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[open  source python genetic algorithm frameowrk
]]></description>
<dc:subject>python genetic evolution ai howto via:karpuscul</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:336d1f667062/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
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</item>
<item rdf:about="http://metaoptimize.com/qa/">
    <title>MetaOptimize Q+A - machine learning, natural language processing, artificial intelligence, text analysis, information retrieval, search, data mining, statistical modeling, and data visualization</title>
    <dc:date>2010-07-03T21:30:52+00:00</dc:date>
    <link>http://metaoptimize.com/qa/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[forum for machine learning types
]]></description>
<dc:subject>nlp learnin ai howto academic</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:c9ee39dfb6e5/</dc:identifier>
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</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>
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</item>
<item rdf:about="http://radar.oreilly.com/2010/06/what-is-data-science.html">
    <title>What is data science? - O'Reilly Radar</title>
    <dc:date>2010-06-08T15:17:24+00:00</dc:date>
    <link>http://radar.oreilly.com/2010/06/what-is-data-science.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[O'reilly gives an overview of large dataset tools, including some nice machine learning ones
]]></description>
<dc:subject>data mapreduce opensource methodology hps hadoop java r python ai via:datakid schmooze academic phd</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:874de9d2f3ea/</dc:identifier>
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</item>
<item rdf:about="http://asmarterplanet.com/">
    <title>A Smarter Planet Blog</title>
    <dc:date>2010-05-03T03:46:39+00:00</dc:date>
    <link>http://asmarterplanet.com/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Fun looking ideas and futures blog, with many eminent figures aggregatd - John Sterman, Brian Arthur et al
]]></description>
<dc:subject>economics futures sustainability academic ai</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:2f2321586fd1/</dc:identifier>
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<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>
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<dc:identifier>https://pinboard.in/u:howthebodyworks/b:32ceb58fd8dd/</dc:identifier>
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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>
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]]></description>
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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>
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]]></description>
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<item rdf:about="http://opencv.willowgarage.com/wiki/PythonInterface">
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    <link>http://opencv.willowgarage.com/wiki/PythonInterface</link>
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]]></description>
<dc:subject>interface python grammarthing parking sun c++ ai opensource</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:9d5dea337e6e/</dc:identifier>
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</item>
<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>
<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:diy"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:statistics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:history"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://notes.variogr.am/post/262976984">
    <title>A Singular Christmas (2004)</title>
    <dc:date>2009-12-01T22:27:38+00:00</dc:date>
    <link>http://notes.variogr.am/post/262976984</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[the combination of all christmas season songs into one ungodly mutant offspring.
]]></description>
<dc:subject>composition ai music christian</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:3bd1c476b0e4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:composition"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:music"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:christian"/>
</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"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.shirky.com/writings/semantic_syllogism.html">
    <title>Shirky: The Semantic Web, Syllogism, and Worldview</title>
    <dc:date>2009-09-17T13:25:44+00:00</dc:date>
    <link>http://www.shirky.com/writings/semantic_syllogism.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[This is the single thing that I am glad to take away uncritically from Shirky - slices through the assumptions of AI-we-can-taxonomise-the-world folks in the semantic web camp.
]]></description>
<dc:subject>semanticweb technology ontology nlp ai</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:0d695a38950f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:semanticweb"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:technology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ontology"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.lazyfeed.com/">
    <title>Lazyfeed</title>
    <dc:date>2009-09-08T04:31:03+00:00</dc:date>
    <link>http://www.lazyfeed.com/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[a feed reader that gives you feeds on *topics* you suggest, rather than from feeds you request. Looks like a handly breaking-news-filter, and comes recommended, but  have not yet tried it myself.
]]></description>
<dc:subject>new rss ai productivity</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:1fd41fd963ca/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:new"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:rss"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:productivity"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.wolframalpha.com/participate/participate.html">
    <title>Participate in the Wolfram|Alpha Project</title>
    <dc:date>2009-06-30T04:29:32+00:00</dc:date>
    <link>http://www.wolframalpha.com/participate/participate.html</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[Science NSW should get in to THIS.
]]></description>
<dc:subject>phm metadata science ai ocsse</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:472fe9551a07/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:phm"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:metadata"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:science"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ocsse"/>
</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://www.len.ro/2007/01/som-neural-networks/">
    <title>Len » SOM neural networks</title>
    <dc:date>2009-03-05T01:53:16+00:00</dc:date>
    <link>http://www.len.ro/2007/01/som-neural-networks/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[image classification using SOM in python
]]></description>
<dc:subject>python tagging image photography opensource learning ai</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:bbd8e6a0bf75/</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:tagging"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:image"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:photography"/>
	<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://www.vdash.org/">
    <title>vdash: a wiki of formalized mathematics</title>
    <dc:date>2008-10-01T06:37:42+00:00</dc:date>
    <link>http://www.vdash.org/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[a semantic wiki in the anglo-american school - accepts formally verified proofs, includes automatic theorem provers and assistants, ajax theorem completion... Well, in principle. Looks like it hasn't launched yet.
]]></description>
<dc:subject>wiki mathematics collaborative @todo semanticweb ai browser logic</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:245850064e14/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:wiki"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mathematics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:collaborative"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:@todo"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:semanticweb"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:browser"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:logic"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://opencvlibrary.sourceforge.net/">
    <title>OpenCV</title>
    <dc:date>2008-09-30T13:55:01+00:00</dc:date>
    <link>http://opencvlibrary.sourceforge.net/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[computer vision library from ibm. thanks guys.
]]></description>
<dc:subject>opensource c++ ai video</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:966079e010ef/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:c++"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:video"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://nodebox.net/perception/">
    <title>Perception</title>
    <dc:date>2008-09-21T11:31:27+00:00</dc:date>
    <link>http://nodebox.net/perception/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[REST-driven online semantic database, plugging into all kinds of neato visualisers and nodebox and that. currently a bit populated by spammy folks.
]]></description>
<dc:subject>visualization Python semanticweb ai nlp</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:48a0a45655e2/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:Python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:semanticweb"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:nlp"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.autonlab.org/tutorials/">
    <title>Statistical Data Mining Tutorials</title>
    <dc:date>2008-09-17T13:37:33+00:00</dc:date>
    <link>http://www.autonlab.org/tutorials/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[a whole bunch of machine learning tutes from some folks who went on to form a google campus
]]></description>
<dc:subject>statistics learning ai compsci howto academic schmooze phd @todo</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:f793b3022f0a/</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:learning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:compsci"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:howto"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:academic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:schmooze"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:phd"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:@todo"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://pennyworth.aetherial.net/">
    <title>Pennyworth: Context Sensing for Mac OS X</title>
    <dc:date>2008-09-02T02:04:38+00:00</dc:date>
    <link>http://pennyworth.aetherial.net/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[a software package for your mac that learns about who you are and what you are doing so i can reconfigure your environment for you. think of the potential for productivity. think also how disastrous privacy violations will be in the future when this shit is commonplace.
]]></description>
<dc:subject>osx apml cocoa portable ai productivity</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:289a4844d41b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:osx"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:apml"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:cocoa"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:portable"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:productivity"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.sciencedaily.com/releases/2008/08/080806194601.htm">
    <title>ALife Conference To Reveal Bio-inspired Spam Detection</title>
    <dc:date>2008-08-22T05:01:06+00:00</dc:date>
    <link>http://www.sciencedaily.com/releases/2008/08/080806194601.htm</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[genetic computing, what hath thou wrought?
]]></description>
<dc:subject>evolution ai spam security genetic mail</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:8922882fd7eb/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:evolution"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:spam"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:security"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:genetic"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mail"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.readwriteweb.com/archives/social_media_in_the_military_p.php">
    <title>Social Media in the Military: Insight Into The Future of Social Networks - ReadWriteWeb</title>
    <dc:date>2008-08-01T01:55:52+00:00</dc:date>
    <link>http://www.readwriteweb.com/archives/social_media_in_the_military_p.php</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[the various uses of social by military organisations of social networking apps are pretty well known. What's news to me is how rich the ecology of those applications has become. I wonder if facebook has AI knowledge management applications?
]]></description>
<dc:subject>collaborative facebook ai knowledge</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:070d5c749c9a/</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:facebook"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:knowledge"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://purelang.bitbucket.org/">
    <title>The Pure Programming Language</title>
    <dc:date>2008-07-27T11:29:32+00:00</dc:date>
    <link>http://purelang.bitbucket.org/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[another strange branch of the language evolution tree - casting aside lambda calculus as a model in favour of term-rewriting, with a dusting of JIT, introspection, symbolic computation
]]></description>
<dc:subject>compsci functional oop ai mathematics</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:06a1cd06518c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:compsci"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:functional"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:oop"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:mathematics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://intwition.com/twitter.php">
    <title>Intwition</title>
    <dc:date>2008-07-27T06:51:46+00:00</dc:date>
    <link>http://intwition.com/twitter.php</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[sniff the global zeitgeist via twitter
]]></description>
<dc:subject>twitter tagging classification ai</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:bdc34cf12b7d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:twitter"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:tagging"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:classification"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.midomi.com/">
    <title>Search for Music Using Your Voice by Singing or Humming, View Music Videos, Join Fan Clubs, Share with Friends, Be Discovered and Much More For Free! - midomi.com</title>
    <dc:date>2008-07-14T05:44:22+00:00</dc:date>
    <link>http://www.midomi.com/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[insane. search for songs by lyrics or by pitch tracking your humming and matching against melodies. oh, and it works on your iphone.
]]></description>
<dc:subject>search language music dsp ai</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:ac5d026daf34/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:search"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:language"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:music"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:dsp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:ai"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.similicio.us/search.php?url=http%3A%2F%2Fcpd.org.au&amp;submit=find+similar">
    <title>similicio.us - find similar sites</title>
    <dc:date>2008-07-10T10:43:21+00:00</dc:date>
    <link>http://www.similicio.us/search.php?url=http%3A%2F%2Fcpd.org.au&amp;submit=find+similar</link>
    <dc:creator>howthebodyworks</dc:creator><dc:subject>cpod ai classification del.icio.us</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:fdcf407b2468/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:howthebodyworks/t:cpod"/>
	<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:del.icio.us"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.spiderland.org/breve/">
    <title>The breve Simulation Environment | breve</title>
    <dc:date>2008-07-10T02:22:23+00:00</dc:date>
    <link>http://www.spiderland.org/breve/</link>
    <dc:creator>howthebodyworks</dc:creator><description><![CDATA[OOP 3d multi agent simulations with python chops.
]]></description>
<dc:subject>@todo grammarthing 3d simulation python oop ai modeling opensource physics</dc:subject>
<dc:identifier>https://pinboard.in/u:howthebodyworks/b:2b81b4991a4c/</dc:identifier>
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