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OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models

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dc.contributor.authorArias Calleja, Manuel
dc.contributor.authorPérez Martín, Jorge
dc.contributor.authorLuque Gallego, Manuel
dc.contributor.authorDíez Vegas, Francisco Javier
dc.date.accessioned2024-05-20T12:03:05Z
dc.date.available2024-05-20T12:03:05Z
dc.date.issued2019
dc.description.abstractOpenMarkov is a Java open-source tool for creating and evaluating probabilistic graphical models, including Bayesian networks, influence diagrams, and some Markov models. With more than 100,000 lines of code, it offers some features for interactive learning, explanation of reasoning, and cost-effectiveness analysis, which are not available in any other tool. OpenMarkov has been used at universities, research centers, and large companies in more than 30 countries on four continents. Several models, some of them for real-world medical applications, built with OpenMarkov, are publicly available on Internet.en
dc.description.versionversión publicada
dc.identifier.urihttps://hdl.handle.net/20.500.14468/12933
dc.language.isoen
dc.publisherInternational Joint Conference on Artificial Intelligence
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.congressTwenty-Eighth International Joint Conference on Artificial Intelligence
dc.relation.departmentInteligencia Artificial
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject.keywordsUncertainty in AI
dc.subject.keywordsProgramming for AI
dc.subject.keywordsMachine Learning
dc.subject.keywordsMedical and healthcare
dc.titleOpenMarkov, an Open-Source Tool for Probabilistic Graphical Modelses
dc.typeconference proceedingsen
dc.typeactas de congresoes
dspace.entity.typePublication
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