<?xml version="1.0" encoding="UTF-8"?>
<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/user/jil/likelihood"><title>BibSonomy bookmarks for /user/jil/likelihood</title><link>https://www.bibsonomy.org/user/jil/likelihood</link><description>BibSonomy RSS Feed for /user/jil/likelihood</description><items><rdf:Seq><rdf:li rdf:resource="http://www.bayesian-inference.com/bayesian"/><rdf:li rdf:resource="http://lingpipe-blog.com/2009/04/30/max-entropy-logistic-regressionfeature-extraction-coefficient-encoding/"/></rdf:Seq></items></channel><item rdf:about="http://www.bayesian-inference.com/bayesian"><title>Bayesian Inference</title><description></description><link>http://www.bayesian-inference.com/bayesian</link><dc:creator>jil</dc:creator><dc:date>2015-05-19T21:28:36+02:00</dc:date><dc:subject>bayes bayesian frequentist inference likelihood prior tutorial </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2015-05-19T21:28:36+02:00&#034; href=&#034;http://www.bayesian-inference.com/bayesian&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://www.bayesian-inference.com/bayesian&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bayes"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/bayesian"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/frequentist"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/inference"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/likelihood"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/prior"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/tutorial"/></rdf:Bag></taxo:topics></item><item rdf:about="http://lingpipe-blog.com/2009/04/30/max-entropy-logistic-regressionfeature-extraction-coefficient-encoding/"><title>Max Entropy vs. Logistic Regression: Feature Extraction and Coefficient Encoding « LingPipe Blog</title><description></description><link>http://lingpipe-blog.com/2009/04/30/max-entropy-logistic-regressionfeature-extraction-coefficient-encoding/</link><dc:creator>jil</dc:creator><dc:date>2011-11-08T00:17:28+01:00</dc:date><dc:subject>entropy likelihood logistic max maxent maximization maximum me regression </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2011-11-08T00:17:28+01:00&#034; href=&#034;http://lingpipe-blog.com/2009/04/30/max-entropy-logistic-regressionfeature-extraction-coefficient-encoding/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://lingpipe-blog.com/2009/04/30/max-entropy-logistic-regressionfeature-extraction-coefficient-encoding/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/entropy"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/likelihood"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/logistic"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/max"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/maxent"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/maximization"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/maximum"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/me"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/regression"/></rdf:Bag></taxo:topics></item></rdf:RDF>