Original title: A generalization of the noisy-or model to multivalued parent variables
Authors: Vomlel, Jiří
Document type: Papers
Conference/Event: Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty (CJS-2013) /16./, Mariánské Lázně (CZ), 2013-09-19 / 2013-09-22
Year: 2013
Language: eng
Abstract: In this paper we propose a generalization of the noisy-or model to multivalued parent variables. Albeit the proposed generalization is more restrictive than previous proposals, it has several nice properties. In this paper we suggest a method for learning this model and report results of experiments on the Reuters text classification data.
Keywords: Automatic classification; Bayesian Networks; Noisy-or models
Project no.: GA13-20012S (CEP)
Funding provider: GA ČR
Host item entry: Proceedings of the 16th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty (CJS-2013), ISBN 978-80-245-1950-0

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: http://library.utia.cas.cz/separaty/2013/MTR/vomlel-a generalization of the noisy-or model to multivalued parent variables.pdf
Original record: http://hdl.handle.net/11104/0224117

Permalink: http://www.nusl.cz/ntk/nusl-156567


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Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers