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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/concept/tag/classifier"><title>BibSonomy bookmarks for /concept/tag/classifier</title><link>https://www.bibsonomy.org/concept/tag/classifier</link><description>BibSonomy RSS Feed for /concept/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>nalab distance correlation classifier </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/nalab"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/distance"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/correlation"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classifier"/></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>library python clustering machine regression classifier learning </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/library"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/python"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/clustering"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/machine"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/regression"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classifier"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/learning"/></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>R ROC Classifier </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; 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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/Error"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Classifier"/><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>bayesian background bayes optimal classifier kdd </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/libsvm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/svm"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classifier"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/portal"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bachelor:2011:bachmann"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classification"/></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>types bayes disadvantages svm classifier advantages bachelor:2011:bachmann </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/types"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bayes"/><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/classifier"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/advantages"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bachelor:2011:bachmann"/></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 mining classifier text ruby </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/mining"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classifier"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/text"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/ruby"/></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 recognition symbol latex </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/recognition"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/symbol"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/latex"/></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>comparison machinelearning classifier </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/comparison"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/machinelearning"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/classifier"/></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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