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<rdf:RDF xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"><channel rdf:about="https://www.bibsonomy.org/tag/classifier"><title>BibSonomy bookmarks for /tag/classifier</title><link>https://www.bibsonomy.org/tag/classifier</link><description>BibSonomy RSS Feed for /tag/classifier</description><items><rdf:Seq><rdf:li rdf:resource="https://pypi.org/project/cso-classifier/"/><rdf:li rdf:resource="https://en.wikipedia.org/wiki/Distance_correlation"/><rdf:li rdf:resource="http://scikit-learn.org/"/><rdf:li rdf:resource="http://cran.r-project.org/web/packages/ROCR/ROCR.pdf"/><rdf:li rdf:resource="http://en.wikipedia.org/wiki/Sensitivity_and_specificity"/><rdf:li rdf:resource="http://www.byclb.com/TR/Tutorials/neural_networks/ch4_1.htm"/><rdf:li rdf:resource="http://www.csie.ntu.edu.tw/~cjlin/libsvm/"/><rdf:li rdf:resource="http://blog.peltarion.com/2006/07/10/classifier-showdown/"/><rdf:li rdf:resource="http://classifier.rubyforge.org/"/><rdf:li rdf:resource="http://detexify.kirelabs.org/classify.html"/><rdf:li rdf:resource="http://blog.peltarion.com/2006/07/10/classifier-showdown/"/><rdf:li rdf:resource="https://ci-bayes.dev.java.net/"/><rdf:li rdf:resource="http://www.theserverside.com/news/thread.tss?thread_id=49773"/><rdf:li rdf:resource="http://software.wise-guys.nl/libtextcat/"/><rdf:li rdf:resource="http://classifier4j.sourceforge.net/"/></rdf:Seq></items></channel><item rdf:about="https://pypi.org/project/cso-classifier/"><title>cso-classifier · PyPI</title><description>A light-weight Python API for classifying scientific documents with the topics from the Computer Science Ontology (https://cso.kmi.open.ac.uk/home).</description><link>https://pypi.org/project/cso-classifier/</link><dc:creator>bsc</dc:creator><dc:date>2021-02-03T21:59:57+01:00</dc:date><dc:subject>classifier ontology </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;A light-weight Python API for classifying scientific documents with the topics from the Computer Science Ontology (https://cso.kmi.open.ac.uk/home).&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classifier"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ontology"/></rdf:Bag></taxo:topics></item><item rdf:about="https://en.wikipedia.org/wiki/Distance_correlation"><title>Distance correlation - Wikipedia</title><description></description><link>https://en.wikipedia.org/wiki/Distance_correlation</link><dc:creator>becker</dc:creator><dc:date>2019-11-14T23:30:09+01:00</dc:date><dc:subject>classifier correlation distance nalab </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2019-11-14T23:30:09+01:00&#034; href=&#034;https://en.wikipedia.org/wiki/Distance_correlation&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://en.wikipedia.org/wiki/Distance_correlation&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classifier"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/correlation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/distance"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/nalab"/></rdf:Bag></taxo:topics></item><item rdf:about="http://scikit-learn.org/"><title>scikit-learn: machine learning in Python — scikit-learn 0.17 documentation</title><description></description><link>http://scikit-learn.org/</link><dc:creator>jil</dc:creator><dc:date>2015-12-12T21:13:49+01:00</dc:date><dc:subject>classifier clustering learning library machine python regression </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2015-12-12T21:13:49+01:00&#034; href=&#034;http://scikit-learn.org/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://scikit-learn.org/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classifier"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/clustering"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/library"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/machine"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/python"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/regression"/></rdf:Bag></taxo:topics></item><item rdf:about="http://cran.r-project.org/web/packages/ROCR/ROCR.pdf"><title>ROC Curves for Classifiers in R</title><description></description><link>http://cran.r-project.org/web/packages/ROCR/ROCR.pdf</link><dc:creator>macek</dc:creator><dc:date>2012-12-14T10:56:57+01:00</dc:date><dc:subject>Classifier R ROC </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2012-12-14T10:56:57+01:00&#034; href=&#034;http://cran.r-project.org/web/packages/ROCR/ROCR.pdf&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://cran.r-project.org/web/packages/ROCR/ROCR.pdf&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Classifier"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/R"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ROC"/></rdf:Bag></taxo:topics></item><item rdf:about="http://en.wikipedia.org/wiki/Sensitivity_and_specificity"><title>Sensitivity and specificity - Wikipedia, the free encyclopedia</title><description>Sensitivity (also called recall rate in some fields) measures the proportion of actual positives which are correctly identified as such (e.g. the percentage of sick people who are correctly identified as having the condition). 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Specificity measures the proportion of negatives which are correctly identified (e.g. the percentage of healthy people who are correctly identified as not having the condition). &lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Classifier"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Error"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Measure"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.byclb.com/TR/Tutorials/neural_networks/ch4_1.htm"><title>Bayesian Decision Theory</title><description></description><link>http://www.byclb.com/TR/Tutorials/neural_networks/ch4_1.htm</link><dc:creator>dbenz</dc:creator><dc:date>2012-02-03T07:28:59+01:00</dc:date><dc:subject>background bayes bayesian classifier kdd optimal </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2012-02-03T07:28:59+01:00&#034; href=&#034;http://www.byclb.com/TR/Tutorials/neural_networks/ch4_1.htm&#034; rel=&#034;nofollow&#034; 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href=&#034;http://www.csie.ntu.edu.tw/~cjlin/libsvm/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://www.csie.ntu.edu.tw/~cjlin/libsvm/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bachelor:2011:bachmann"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classifier"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/libsvm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/portal"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/svm"/></rdf:Bag></taxo:topics></item><item rdf:about="http://blog.peltarion.com/2006/07/10/classifier-showdown/"><title>Classifier Showdown « Synaptic</title><description></description><link>http://blog.peltarion.com/2006/07/10/classifier-showdown/</link><dc:creator>telekoma</dc:creator><dc:date>2011-12-09T16:52:45+01:00</dc:date><dc:subject>advantages bachelor:2011:bachmann bayes classifier disadvantages svm types </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2011-12-09T16:52:45+01:00&#034; href=&#034;http://blog.peltarion.com/2006/07/10/classifier-showdown/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://blog.peltarion.com/2006/07/10/classifier-showdown/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/advantages"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bachelor:2011:bachmann"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bayes"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classifier"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/disadvantages"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/svm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/types"/></rdf:Bag></taxo:topics></item><item rdf:about="http://classifier.rubyforge.org/"><title>Ruby Classifier - Bayesian and LSI classification library</title><description></description><link>http://classifier.rubyforge.org/</link><dc:creator>karinnadrowski</dc:creator><dc:date>2010-04-16T22:55:50+02:00</dc:date><dc:subject>bayesian classifier mining ruby text </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2010-04-16T22:55:50+02:00&#034; href=&#034;http://classifier.rubyforge.org/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://classifier.rubyforge.org/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bayesian"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classifier"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ruby"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/text"/></rdf:Bag></taxo:topics></item><item rdf:about="http://detexify.kirelabs.org/classify.html"><title>Detexify LaTeX handwritten symbol recognition</title><description></description><link>http://detexify.kirelabs.org/classify.html</link><dc:creator>dbenz</dc:creator><dc:date>2009-10-02T14:01:16+02:00</dc:date><dc:subject>classifier latex recognition symbol </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2009-10-02T14:01:16+02:00&#034; href=&#034;http://detexify.kirelabs.org/classify.html&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://detexify.kirelabs.org/classify.html&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classifier"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/latex"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/recognition"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/symbol"/></rdf:Bag></taxo:topics></item><item rdf:about="http://blog.peltarion.com/2006/07/10/classifier-showdown/"><title>Classifier Showdown</title><description>Comparison of naive bayes classifiers, support vector machines and modular multilayer perceptron neural networks.</description><link>http://blog.peltarion.com/2006/07/10/classifier-showdown/</link><dc:creator>cdevries</dc:creator><dc:date>2008-11-14T13:33:51+01:00</dc:date><dc:subject>classifier comparison machinelearning </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Comparison of naive bayes classifiers, support vector machines and modular multilayer perceptron neural networks.&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classifier"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/comparison"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/machinelearning"/></rdf:Bag></taxo:topics></item><item rdf:about="https://ci-bayes.dev.java.net/"><title>ci-bayes: Home</title><description>This project contains Naive and Fishers bayesian classifiers, as described in Toby Segaran&#039;s book &#034;Programming Collective Intelligence.&#034; 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