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	<title>CiteULike: sdvillal learning-bounds</title>
	<description>CiteULike: sdvillal learning-bounds</description>


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    <title>Tutorial on Practical Prediction Theory for Classification</title>
    <link>http://www.citeulike.org/user/sdvillal/article/2712765</link>
    <description>&lt;i&gt;Journal of Machine Learning Research, Vol. 6 (March 2005), pp. 273-306.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;We discuss basic prediction theory and its impact on classification success evaluation, implications for learning algorithm design, and uses in learning algorithm execution. This tutorial is meant to be a comprehensive compilation of results which are both theoretically rigorous and quantitatively useful.</description>
    <dc:title>Tutorial on Practical Prediction Theory for Classification</dc:title>

    <dc:creator>John Langford</dc:creator>
    <dc:source>Journal of Machine Learning Research, Vol. 6 (March 2005), pp. 273-306.</dc:source>
    <dc:date>2008-04-24T11:35:10-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>Journal of Machine Learning Research</prism:publicationName>
    <prism:volume>6</prism:volume>
    <prism:startingPage>273</prism:startingPage>
    <prism:endingPage>306</prism:endingPage>
    <prism:category>error-estimation</prism:category>
    <prism:category>learning-bounds</prism:category>
    <prism:category>ml-foundations</prism:category>
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