<rdf:RDF xmlns:community="http://www.bibsonomy.org/ontologies/2008/05/community#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:admin="http://webns.net/mvcb/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:cc="http://web.resource.org/cc/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" xmlns:swrc="http://swrc.ontoware.org/ontology#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xml:base="http://www.bibsonomy.org/user/idsia/bayes,"><owl:Ontology rdf:about=""><rdfs:comment>BibSonomy publications for /user/idsia/bayes,</rdfs:comment><owl:imports rdf:resource="http://swrc.ontoware.org/ontology/portal"/></owl:Ontology><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/28319bdd4f41d45232efb7965421e9f9b/idsia"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/28319bdd4f41d45232efb7965421e9f9b/idsia"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://arxiv.org/abs/math.ST/0502315"/><swrc:date>Tue Mar 11 14:52:34 CET 2008</swrc:date><swrc:address>Enschede</swrc:address><swrc:booktitle>Annual Machine Learning Conference of Belgium and the Netherlands ({Benelearn-2005})</swrc:booktitle><swrc:title>Strong Asymptotic Assertions for Discrete {MDL} in Regression and Classification</swrc:title><swrc:year>2005</swrc:year><swrc:keywords>regression, length, juergen, convergence, description, classification, learning, discrete, prediction, minimum, bayes, sequence marginalization, machine, mixture, classes, model, </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="2382166" swrc:key="id"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="2" swrc:key="priority"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="J. Poland"/></rdf:_1><rdf:_2><swrc:Person swrc:name="M. Hutter"/></rdf:_2></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/23e33239f0046b223f066a4fbe60edcd6/idsia"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/23e33239f0046b223f066a4fbe60edcd6/idsia"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="http://www.hutter1.de/ai/mifs.htm"/><swrc:date>Tue Mar 11 14:52:34 CET 2008</swrc:date><swrc:journal>Computational Statistics \&amp; Data Analysis</swrc:journal><swrc:number>3</swrc:number><swrc:pages>633--657</swrc:pages><swrc:publisher><swrc:Organization swrc:name="Elsevier Science"/></swrc:publisher><swrc:title>Distribution of Mutual Information from Complete and Incomplete Data</swrc:title><swrc:volume>48</swrc:volume><swrc:year>2005</swrc:year><swrc:keywords>cross, feature, bayesian, order, of, juergen, mutual, variance distribution, and, expectation, bayes, naive, dirichlet, second, statistics, information, selection, entropy, filters, classifier, </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="2382178" swrc:key="id"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="2" swrc:key="priority"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Marcus Hutter"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Marco Zaffalon"/></rdf:_2></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2f65403f6346a5b6747be35f3f4f3ac2f/idsia"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2f65403f6346a5b6747be35f3f4f3ac2f/idsia"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="http://arxiv.org/abs/cs.AI/0206006"/><swrc:date>Tue Mar 11 14:52:34 CET 2008</swrc:date><swrc:booktitle>Proc. 18th International Conf. on Uncertainty in Artificial Intelligence (UAI-2002)</swrc:booktitle><swrc:pages>577--584</swrc:pages><swrc:publisher><swrc:Organization swrc:name="Morgan Kaufmann, San Francisco, CA"/></swrc:publisher><swrc:title>Robust Feature Selection by Mutual Information Distributions</swrc:title><swrc:year>2002</swrc:year><swrc:keywords>bayesian, order, mutual, distribution, missing, and, expectation, naive, robust, information, selection, entropy, feature, data, cross, of, juergen, variance credible, bayes, dirichlet, filter, second, intervals, statistics, approach, classifier, </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="2382179" swrc:key="id"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="2" swrc:key="priority"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Marco Zaffalon"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Marcus Hutter"/></rdf:_2></rdf:Seq></swrc:author></rdf:Description></rdf:RDF>