<rdf:RDF xmlns:admin="http://webns.net/mvcb/" 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:xsd="http://www.w3.org/2001/XMLSchema#" 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/jil/naive"><title>BibSonomy publications for /user/jil/naive</title><link>http://www.bibsonomy.org/user/jil/naive</link><description>BibSonomy RSS Feed for /user/jil/naive</description><items><rdf:Seq><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2b8f819dc681e76ee9723c72a859dff3c/jil"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/22896eb9538a6ee34f8e6c6757bdcf99e/jil"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2fa46d1cc0dd56ab40a7f722e569a1fd3/jil"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2e290abb350b7aa09a412c1dddac55cd6/jil"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2b4e1a9d4635a9fb1f11a947f1ab3618a/jil"/></rdf:Seq></items></channel><item rdf:about="http://www.bibsonomy.org/bibtex/2b8f819dc681e76ee9723c72a859dff3c/jil"><title>Effective methods for improving Naive Bayes text classifiers</title><link>http://www.bibsonomy.org/bibtex/2b8f819dc681e76ee9723c72a859dff3c/jil</link><dc:creator>jil</dc:creator><dc:date>2008-05-06T02:13:03+02:00</dc:date><dc:subject>naive multinomial normalization length bayes learning machine </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;S. &lt;a href=&#034;http://www.bibsonomy.org/author/Kim&#034;&gt;Kim&lt;/a&gt;  and H. &lt;a href=&#034;http://www.bibsonomy.org/author/Rim&#034;&gt;Rim&lt;/a&gt;  and D. &lt;a href=&#034;http://www.bibsonomy.org/author/Yook&#034;&gt;Yook&lt;/a&gt;  and H. &lt;a href=&#034;http://www.bibsonomy.org/author/Lim&#034;&gt;Lim&lt;/a&gt;  &lt;/span&gt;(&lt;em&gt;2002&lt;/em&gt;) &lt;a href=&#034;http://www.bibsonomy.org/bibtex/2b8f819dc681e76ee9723c72a859dff3c/jil&#034;&gt;&lt;i&gt;Effective methods for improving Naive Bayes text classifiers.&lt;/i&gt;&lt;/a&gt;
	     [&lt;a href=&#034;http://www.bibsonomy.org/&#034;&gt;BibSonomy&lt;/a&gt;:
             &lt;a href=&#034;http://www.bibsonomy.org/user/jil/naive&#034;&gt;naive&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/multinomial&#034;&gt;multinomial&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/normalization&#034;&gt;normalization&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/length&#034;&gt;length&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/bayes&#034;&gt;bayes&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/learning&#034;&gt;learning&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/machine&#034;&gt;machine&lt;/a&gt;]
	     &lt;a href=&#034;http://citeseer.ist.psu.edu/kim02effective.html&#034;&gt;URL&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/naive"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/multinomial"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/normalization"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/length"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/bayes"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/learning"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/machine"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.bibsonomy.org/bibtex/22896eb9538a6ee34f8e6c6757bdcf99e/jil"><title>Improving Multi-class Text Classification with Naive Bayes</title><link>http://www.bibsonomy.org/bibtex/22896eb9538a6ee34f8e6c6757bdcf99e/jil</link><dc:creator>jil</dc:creator><dc:date>2008-05-05T19:34:57+02:00</dc:date><dc:subject>herleitung multinomial estimation bayes exhaustive likelihood thesis prior naive komplett maximum map deduction mle </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Jason D. M. &lt;a href=&#034;http://www.bibsonomy.org/author/Rennie&#034;&gt;Rennie&lt;/a&gt;  &lt;/span&gt;(&lt;em&gt;2001&lt;/em&gt;) &lt;a href=&#034;http://www.bibsonomy.org/bibtex/22896eb9538a6ee34f8e6c6757bdcf99e/jil&#034;&gt;&lt;i&gt;Improving Multi-class Text Classification with Naive Bayes.&lt;/i&gt;&lt;/a&gt;
	     [&lt;a href=&#034;http://www.bibsonomy.org/&#034;&gt;BibSonomy&lt;/a&gt;:
             &lt;a href=&#034;http://www.bibsonomy.org/user/jil/herleitung&#034;&gt;herleitung&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/multinomial&#034;&gt;multinomial&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/estimation&#034;&gt;estimation&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/bayes&#034;&gt;bayes&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/exhaustive&#034;&gt;exhaustive&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/likelihood&#034;&gt;likelihood&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/thesis&#034;&gt;thesis&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/prior&#034;&gt;prior&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/naive&#034;&gt;naive&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/komplett&#034;&gt;komplett&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/maximum&#034;&gt;maximum&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/map&#034;&gt;map&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/deduction&#034;&gt;deduction&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/mle&#034;&gt;mle&lt;/a&gt;]
	     &lt;a href=&#034;http://people.csail.mit.edu/~jrennie/papers/sm-thesis.pdf&#034;&gt;URL&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/herleitung"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/multinomial"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/estimation"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/bayes"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/exhaustive"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/likelihood"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/thesis"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/prior"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/naive"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/komplett"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/maximum"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/map"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/deduction"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/mle"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.bibsonomy.org/bibtex/2fa46d1cc0dd56ab40a7f722e569a1fd3/jil"><title>A Comparison of Event Models for Naive Bayes Text Classification</title><link>http://www.bibsonomy.org/bibtex/2fa46d1cc0dd56ab40a7f722e569a1fd3/jil</link><dc:creator>jil</dc:creator><dc:date>2008-05-05T19:02:36+02:00</dc:date><dc:subject>naive text model multinomial event ereignis classification vergleich bernoulli bayes </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Andrew &lt;a href=&#034;http://www.bibsonomy.org/author/McCallum&#034;&gt;McCallum&lt;/a&gt;  and Kamal &lt;a href=&#034;http://www.bibsonomy.org/author/Nigam&#034;&gt;Nigam&lt;/a&gt;  &lt;/span&gt;(&lt;em&gt;1998&lt;/em&gt;) &lt;a href=&#034;http://www.bibsonomy.org/bibtex/2fa46d1cc0dd56ab40a7f722e569a1fd3/jil&#034;&gt;&lt;i&gt;A Comparison of Event Models for Naive Bayes Text Classification.&lt;/i&gt;&lt;/a&gt;&lt;em&gt;Learning for Text Categorization: Papers from the 1998 AAAI Workshop, &lt;/em&gt;&lt;em&gt;page41--48. &lt;/em&gt;
	     [&lt;a href=&#034;http://www.bibsonomy.org/&#034;&gt;BibSonomy&lt;/a&gt;:
             &lt;a href=&#034;http://www.bibsonomy.org/user/jil/naive&#034;&gt;naive&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/text&#034;&gt;text&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/model&#034;&gt;model&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/multinomial&#034;&gt;multinomial&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/event&#034;&gt;event&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/ereignis&#034;&gt;ereignis&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/classification&#034;&gt;classification&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/vergleich&#034;&gt;vergleich&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/bernoulli&#034;&gt;bernoulli&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/bayes&#034;&gt;bayes&lt;/a&gt;]
	     &lt;a href=&#034;http://www.kamalnigam.com/papers/multinomial-aaaiws98.pdf&#034;&gt;URL&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/naive"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/text"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/model"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/multinomial"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/event"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/ereignis"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/classification"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/vergleich"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/bernoulli"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/bayes"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.bibsonomy.org/bibtex/2e290abb350b7aa09a412c1dddac55cd6/jil"><title>Naive (Bayes) at forty: The independence assumption in information retrieval.</title><link>http://www.bibsonomy.org/bibtex/2e290abb350b7aa09a412c1dddac55cd6/jil</link><dc:creator>jil</dc:creator><dc:date>2008-05-05T18:53:49+02:00</dc:date><dc:subject>naive ir text overview representation bayes forty </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;David D. &lt;a href=&#034;http://www.bibsonomy.org/author/Lewis&#034;&gt;Lewis&lt;/a&gt;  &lt;/span&gt;(&lt;em&gt;1998&lt;/em&gt;) &lt;a href=&#034;http://www.bibsonomy.org/bibtex/2e290abb350b7aa09a412c1dddac55cd6/jil&#034;&gt;&lt;i&gt;Naive (Bayes) at forty: The independence assumption in information retrieval..&lt;/i&gt;&lt;/a&gt;&lt;em&gt;Proceedings of ECML-98, 10th European Conference on Machine Learning, &lt;/em&gt;&lt;em&gt;page4--15. &lt;/em&gt;&lt;em&gt;Chemnitz, DE, &lt;/em&gt;&lt;em&gt;Springer Verlag, Heidelberg, DE, &lt;/em&gt;
	     [&lt;a href=&#034;http://www.bibsonomy.org/&#034;&gt;BibSonomy&lt;/a&gt;:
             &lt;a href=&#034;http://www.bibsonomy.org/user/jil/naive&#034;&gt;naive&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/ir&#034;&gt;ir&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/text&#034;&gt;text&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/overview&#034;&gt;overview&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/representation&#034;&gt;representation&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/bayes&#034;&gt;bayes&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/forty&#034;&gt;forty&lt;/a&gt;]
	     &lt;a href=&#034;http://citeseer.ist.psu.edu/lewis98naive.html&#034;&gt;URL&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/naive"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/ir"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/text"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/overview"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/representation"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/bayes"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/forty"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.bibsonomy.org/bibtex/2b4e1a9d4635a9fb1f11a947f1ab3618a/jil"><title>Spam Filtering with Naive Bayes -- Which Naive Bayes?</title><link>http://www.bibsonomy.org/bibtex/2b4e1a9d4635a9fb1f11a947f1ab3618a/jil</link><dc:creator>jil</dc:creator><dc:date>2008-05-05T18:50:15+02:00</dc:date><dc:subject>naive multinomial multivariate bayes spam metsis </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Vangelis &lt;a href=&#034;http://www.bibsonomy.org/author/Metsis&#034;&gt;Metsis&lt;/a&gt;  and Ion &lt;a href=&#034;http://www.bibsonomy.org/author/Androutsopoulos&#034;&gt;Androutsopoulos&lt;/a&gt;  and Georgios &lt;a href=&#034;http://www.bibsonomy.org/author/Paliouras&#034;&gt;Paliouras&lt;/a&gt;  &lt;/span&gt;(&lt;em&gt;2006&lt;/em&gt;) &lt;a href=&#034;http://www.bibsonomy.org/bibtex/2b4e1a9d4635a9fb1f11a947f1ab3618a/jil&#034;&gt;&lt;i&gt;Spam Filtering with Naive Bayes -- Which Naive Bayes?.&lt;/i&gt;&lt;/a&gt;
	     [&lt;a href=&#034;http://www.bibsonomy.org/&#034;&gt;BibSonomy&lt;/a&gt;:
             &lt;a href=&#034;http://www.bibsonomy.org/user/jil/naive&#034;&gt;naive&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/multinomial&#034;&gt;multinomial&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/multivariate&#034;&gt;multivariate&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/bayes&#034;&gt;bayes&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/spam&#034;&gt;spam&lt;/a&gt; &lt;a href=&#034;http://www.bibsonomy.org/user/jil/metsis&#034;&gt;metsis&lt;/a&gt;]
	     &lt;a href=&#034;http://citeseer.ist.psu.edu/757874.html&#034;&gt;URL&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/naive"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/multinomial"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/multivariate"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/bayes"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/spam"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/metsis"/></rdf:Bag></taxo:topics></item></rdf:RDF>