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    <title>Transductive Inference for Text Classification using Support Vector Machines</title>
    <link>http://www.bibsonomy.org/bibtex/27cf3e7981cac898c1745418db83e0fd6/kzhou</link>
    <dc:creator>kzhou</dc:creator>
    <dc:date>2007-04-28T16:01:00+02:00</dc:date>
    <dc:subject>svm text-classification theory transduction transductive transductive-inference transductive-learning tsvm </dc:subject>
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  <a href="http://www.bibsonomy.org/bibtex/27cf3e7981cac898c1745418db83e0fd6/kzhou">Transductive Inference for Text Classification using Support Vector Machines</a>
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  <span style="color:#555555;"> 
    Thorsten <a href="http://www.bibsonomy.org/author/Joachims">Joachims</a>         	     	 
        	 </span> 
  <em>Proceedings of ICML-99, 16th International Conference on Machine Learning</em>
    200--209
  (1999)
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        to
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        <a href="http://www.bibsonomy.org/user/kzhou/svm">svm</a>
        <a href="http://www.bibsonomy.org/user/kzhou/text-classification">text-classification</a>
        <a href="http://www.bibsonomy.org/user/kzhou/theory">theory</a>
        <a href="http://www.bibsonomy.org/user/kzhou/transduction">transduction</a>
        <a href="http://www.bibsonomy.org/user/kzhou/transductive">transductive</a>
        <a href="http://www.bibsonomy.org/user/kzhou/transductive-inference">transductive-inference</a>
        <a href="http://www.bibsonomy.org/user/kzhou/transductive-learning">transductive-learning</a>
        <a href="http://www.bibsonomy.org/user/kzhou/tsvm">tsvm</a>
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          by <a href="http://www.bibsonomy.org/user/kzhou">kzhou</a> 
        
        
        on 2007-04-28 16:01:00 </span></div>
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        <swrc:address>Bled, SL</swrc:address><swrc:booktitle>Proceedings of ICML-99, 16th International Conference on Machine Learning</swrc:booktitle><swrc:pages>200--209</swrc:pages><swrc:publisher><swrc:Organization swrc:name="Morgan Kaufmann Publishers, San Francisco, US"/></swrc:publisher><swrc:title>Transductive Inference for Text Classification using Support Vector Machines</swrc:title><swrc:year>1999</swrc:year><swrc:keywords>svm text-classification theory transduction transductive transductive-inference transductive-learning tsvm </swrc:keywords><swrc:date>2007-04-28 16:01:00.0</swrc:date><swrc:abstract>This paper introduces Transductive Support Vector Machines (TSVMs) for text classification. While regular Support Vector Machines (SVMs) try to induce a general decision function for a learning task, Transductive Support Vector Machines take into account a particular test set and try to minimize misclassifications of just those particular examples. The paper presents an analysis of why TSVMs are well suited for text classification. These theoretical findings are supported by experiments on...</swrc:abstract><swrc:hasExtraField>
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