<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/jil/svm"><title>BibSonomy publications for /user/jil/svm</title><link>http://www.bibsonomy.org/publrss/user/jil/svm</link><description>BibSonomy RSS Feed for /user/jil/svm</description><items><rdf:Seq><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2c04ef97dc3c3de168e684c3e4abe061b/jil"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2b91671f0203ceba841281cf9daf523ea/jil"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2b7cf853e8635bd2887e8dea3d9e10ccb/jil"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2ad2a33b52e690eaf15da04fff7f12755/jil"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/27cf3e7981cac898c1745418db83e0fd6/jil"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/2b855be60a3903e0af45ca42fd20c2732/jil"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/24849dc190c907bcb507aece582e76353/jil"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/28b298c325c6ecdb9c01e01057464ae2d/jil"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/25206a28e84c94a9226969a8232d37c48/jil"/><rdf:li rdf:resource="http://www.bibsonomy.org/bibtex/21946b7254ef1dccdf34c6140ad133c67/jil"/></rdf:Seq></items></channel><item rdf:about="http://www.bibsonomy.org/bibtex/2c04ef97dc3c3de168e684c3e4abe061b/jil"><title>A Practical Guide to Support Vector Classification</title><link>http://www.bibsonomy.org/bibtex/2c04ef97dc3c3de168e684c3e4abe061b/jil</link><dc:creator>jil</dc:creator><dc:date>2008-05-28T19:14:22+02:00</dc:date><dc:subject>tutorial libsvm svm guide </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Chih-Wei &lt;a href=&#034;http://www.bibsonomy.org/author/Hsu&#034;&gt;Hsu&lt;/a&gt;  and Chih-Chung &lt;a href=&#034;http://www.bibsonomy.org/author/Chang&#034;&gt;Chang&lt;/a&gt;  and Chih-Jen &lt;a href=&#034;http://www.bibsonomy.org/author/Lin&#034;&gt;Lin&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;Department of Computer Science, National Taiwan University, &lt;/em&gt;(&lt;em&gt;2003&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/tutorial"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/libsvm"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/svm"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/guide"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.bibsonomy.org/bibtex/2b91671f0203ceba841281cf9daf523ea/jil"><title>Making large-Scale SVM Learning Practical.</title><link>http://www.bibsonomy.org/bibtex/2b91671f0203ceba841281cf9daf523ea/jil</link><dc:creator>jil</dc:creator><dc:date>2008-05-28T19:07:36+02:00</dc:date><dc:subject>svmlight svm light svm_light joachims </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;T. &lt;a href=&#034;http://www.bibsonomy.org/author/Joachims&#034;&gt;Joachims&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;Advances in Kernel Methods - Support Vector Learning, &lt;/em&gt;&lt;em&gt;MIT Press, &lt;/em&gt;(&lt;em&gt;1999&lt;/em&gt;) &lt;em&gt;software available at urlhttp://svmlight.joachims.org/
		    .
	    &lt;/em&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/svmlight"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/svm"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/light"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/svm_light"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/joachims"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.bibsonomy.org/bibtex/2b7cf853e8635bd2887e8dea3d9e10ccb/jil"><title>A Short SVM (Support Vector Machine) Tutorial</title><link>http://www.bibsonomy.org/bibtex/2b7cf853e8635bd2887e8dea3d9e10ccb/jil</link><dc:creator>jil</dc:creator><dc:date>2008-05-04T17:00:45+02:00</dc:date><dc:subject>mathe lagrange tutorial svm mathematik math kkt background </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;J.P. &lt;a href=&#034;http://www.bibsonomy.org/author/Lewis&#034;&gt;Lewis&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;CGIT Lab / IMSC, &lt;/em&gt;(&lt;em&gt;2004&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/mathe"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/lagrange"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/tutorial"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/svm"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/mathematik"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/math"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/kkt"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/background"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.bibsonomy.org/bibtex/2ad2a33b52e690eaf15da04fff7f12755/jil"><title>A Tutorial on Support Vector Machines for Pattern Recognition</title><link>http://www.bibsonomy.org/bibtex/2ad2a33b52e690eaf15da04fff7f12755/jil</link><dc:creator>jil</dc:creator><dc:date>2008-05-04T16:52:21+02:00</dc:date><dc:subject>lagrange kkt deduction svm burges herleitung tutorial </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Christopher J. C. &lt;a href=&#034;http://www.bibsonomy.org/author/Burges&#034;&gt;Burges&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;Data Mining and Knowledge Discovery&lt;/em&gt;&lt;em&gt;2(2):121-167&lt;/em&gt;(&lt;em&gt;1998&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/lagrange"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/kkt"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/deduction"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/svm"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/burges"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/herleitung"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/tutorial"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.bibsonomy.org/bibtex/27cf3e7981cac898c1745418db83e0fd6/jil"><title>Transductive Inference for Text Classification using Support Vector Machines</title><link>http://www.bibsonomy.org/bibtex/27cf3e7981cac898c1745418db83e0fd6/jil</link><dc:creator>jil</dc:creator><dc:date>2008-05-02T15:34:36+02:00</dc:date><dc:subject>transductive svm svmlight </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Thorsten &lt;a href=&#034;http://www.bibsonomy.org/author/Joachims&#034;&gt;Joachims&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;Proceedings of ICML-99, 16th International Conference on Machine Learning, &lt;/em&gt;&lt;em&gt;page200--209. &lt;/em&gt;&lt;em&gt;Bled, SL, &lt;/em&gt;&lt;em&gt;Morgan Kaufmann Publishers, San Francisco, US, &lt;/em&gt;(&lt;em&gt;1999&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/transductive"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/svm"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/svmlight"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.bibsonomy.org/bibtex/2b855be60a3903e0af45ca42fd20c2732/jil"><title>Training linear SVMs in linear time.</title><link>http://www.bibsonomy.org/bibtex/2b855be60a3903e0af45ca42fd20c2732/jil</link><dc:creator>jil</dc:creator><dc:date>2008-05-02T00:54:16+02:00</dc:date><dc:subject>optimization optimierung svm linear reformulation </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Thorsten &lt;a href=&#034;http://www.bibsonomy.org/author/Joachims&#034;&gt;Joachims&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;KDD, &lt;/em&gt;&lt;em&gt;page217-226. &lt;/em&gt;&lt;em&gt;ACM, &lt;/em&gt;(&lt;em&gt;2006&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/optimization"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/optimierung"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/svm"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/linear"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/reformulation"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.bibsonomy.org/bibtex/24849dc190c907bcb507aece582e76353/jil"><title>A tutorial on \&#957;-support vector machines: Research Articles</title><description>A tutorial on ν-support vector machines</description><link>http://www.bibsonomy.org/bibtex/24849dc190c907bcb507aece582e76353/jil</link><dc:creator>jil</dc:creator><dc:date>2008-05-02T00:49:56+02:00</dc:date><dc:subject>trick tutorial svm kernel </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Pai-Hsuen &lt;a href=&#034;http://www.bibsonomy.org/author/Chen&#034;&gt;Chen&lt;/a&gt;  and Chih-Jen &lt;a href=&#034;http://www.bibsonomy.org/author/Lin&#034;&gt;Lin&lt;/a&gt;  and Bernhard &lt;a href=&#034;http://www.bibsonomy.org/author/Sch\&amp;#034;{o}lkopf&#034;&gt;Sch&amp;#246;lkopf&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;Appl. Stoch. Model. Bus. Ind.&lt;/em&gt;&lt;em&gt;21(2):111--136&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/trick"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/tutorial"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/svm"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/kernel"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.bibsonomy.org/bibtex/28b298c325c6ecdb9c01e01057464ae2d/jil"><title>Automatic multi-label subject indexing in a multilingual environment</title><link>http://www.bibsonomy.org/bibtex/28b298c325c6ecdb9c01e01057464ae2d/jil</link><dc:creator>jil</dc:creator><dc:date>2008-03-29T06:27:14+01:00</dc:date><dc:subject>classification svm hotho multilabel </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Boris &lt;a href=&#034;http://www.bibsonomy.org/author/Lauser&#034;&gt;Lauser&lt;/a&gt;  and Andreas &lt;a href=&#034;http://www.bibsonomy.org/author/Hotho&#034;&gt;Hotho&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;Proc. of the 7th European Conference in Research and Advanced Technology for Digital Libraries, ECDL 2003, &lt;/em&gt;&lt;em&gt;volume2769ofLNCS, &lt;/em&gt;&lt;em&gt;page140-151. &lt;/em&gt;&lt;em&gt;Springer, &lt;/em&gt;(&lt;em&gt;2003&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/classification"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/svm"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/hotho"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/multilabel"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.bibsonomy.org/bibtex/25206a28e84c94a9226969a8232d37c48/jil"><title>Applying Support Vector Machines to the TREC-2001 Batch Filtering and Routing Tasks.</title><link>http://www.bibsonomy.org/bibtex/25206a28e84c94a9226969a8232d37c48/jil</link><dc:creator>jil</dc:creator><dc:date>2008-01-21T17:59:17+01:00</dc:date><dc:subject>svm optimierung parameter j </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;TREC, &lt;/em&gt;(&lt;em&gt;2001&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/svm"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/optimierung"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/parameter"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/j"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.bibsonomy.org/bibtex/21946b7254ef1dccdf34c6140ad133c67/jil"><title>Support Vector Machine Parameter Optimization for Text Categorization Problems.</title><link>http://www.bibsonomy.org/bibtex/21946b7254ef1dccdf34c6140ad133c67/jil</link><dc:creator>jil</dc:creator><dc:date>2008-01-21T17:31:57+01:00</dc:date><dc:subject>machine text j svm learning parameter optimierung </dc:subject><content:encoded>&lt;span style=&#034;color:#555555;&#034;&gt;Mikhail S. &lt;a href=&#034;http://www.bibsonomy.org/author/Ageev&#034;&gt;Ageev&lt;/a&gt;  and Boris V. &lt;a href=&#034;http://www.bibsonomy.org/author/Dobrov&#034;&gt;Dobrov&lt;/a&gt;  &lt;/span&gt;&lt;em&gt;ISTA, &lt;/em&gt;&lt;em&gt;volume30ofLNI, &lt;/em&gt;&lt;em&gt;page165-176. &lt;/em&gt;&lt;em&gt;GI, &lt;/em&gt;(&lt;em&gt;2003&lt;/em&gt;)</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="http://www.bibsonomy.org/tag/machine"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/text"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/j"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/svm"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/learning"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/parameter"/><rdf:li rdf:resource="http://www.bibsonomy.org/tag/optimierung"/></rdf:Bag></taxo:topics></item></rdf:RDF>