<rdf:RDF xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:cc="http://web.resource.org/cc/" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"><channel rdf:about="http://www.bibsonomy.org/user/schaul/classifier,"><title>BibSonomy publications for /user/schaul/classifier,</title><link>http://www.bibsonomy.org/publrss/user/schaul/classifier,</link><description>BibSonomy RSS Feed for /user/schaul/classifier,</description><items><rdf:Seq><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/23e33239f0046b223f066a4fbe60edcd6/schaul"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2f65403f6346a5b6747be35f3f4f3ac2f/schaul"/></rdf:Seq></items></channel><item rdf:about="http://www.bibsonomy.org/bibtex/23e33239f0046b223f066a4fbe60edcd6/schaul"><title>Distribution of Mutual Information from Complete and Incomplete Data</title><description>idsia</description><link>http://www.bibsonomy.org/bibtex/23e33239f0046b223f066a4fbe60edcd6/schaul</link><dc:creator>schaul</dc:creator><dc:date>2008-02-26T11:58:58+01:00</dc:date><dc:subject>expectation, mutual, dirichlet, of, and, feature, naive, bayes, filters, juergen, selection, variance statistics, second, order, classifier, cross, bayesian, information, distribution, entropy, </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Marcus &lt;a href=&#034;http://www.bibsonomy.org/author/Hutter&#034;&gt;Hutter&lt;/a&gt;  und Marco &lt;a href=&#034;http://www.bibsonomy.org/author/Zaffalon&#034;&gt;Zaffalon&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;Computational Statistics \&amp;amp; Data Analysis&lt;/em&gt;&lt;em&gt;48(3):633--657&lt;/em&gt;(&lt;em&gt;2005&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/expectation,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/mutual,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/dirichlet,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/of,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/and,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/feature,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/naive,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/bayes,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/filters,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/juergen,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/selection,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/variance"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/statistics,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/second,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/order,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/classifier,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/cross,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/bayesian,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/information,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/distribution,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/entropy,"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.bibsonomy.org/bibtex/2f65403f6346a5b6747be35f3f4f3ac2f/schaul"><title>Robust Feature Selection by Mutual Information Distributions</title><description>idsia</description><link>http://www.bibsonomy.org/bibtex/2f65403f6346a5b6747be35f3f4f3ac2f/schaul</link><dc:creator>schaul</dc:creator><dc:date>2008-02-26T11:58:58+01:00</dc:date><dc:subject>distribution, filter, naive, bayesian, expectation, and, intervals, approach, dirichlet, order, feature, bayes, robust, entropy, information, variance missing, credible, mutual, cross, selection, juergen, classifier, second, of, statistics, data, </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Marco &lt;a href=&#034;http://www.bibsonomy.org/author/Zaffalon&#034;&gt;Zaffalon&lt;/a&gt;  und Marcus &lt;a href=&#034;http://www.bibsonomy.org/author/Hutter&#034;&gt;Hutter&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;Proc. 18th International Conf. on Uncertainty in Artificial Intelligence (UAI-2002), &lt;/em&gt;&lt;em&gt;Seite577--584. &lt;/em&gt;&lt;em&gt;Morgan Kaufmann, San Francisco, CA, &lt;/em&gt;(&lt;em&gt;2002&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/distribution,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/filter,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/naive,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/bayesian,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/expectation,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/and,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/intervals,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/approach,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/dirichlet,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/order,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/feature,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/bayes,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/robust,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/entropy,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/information,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/variance"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/missing,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/credible,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/mutual,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/cross,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/selection,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/juergen,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/classifier,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/second,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/of,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/statistics,"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/data,"/></rdf:Bag></taxo:topics></item></rdf:RDF>