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Learning and validating Bayesian network models of gene networks
Linköping University, Department of Computer and Information Science, Database and information techniques. (ADIT)
Computional Medicine group KI.
Linköping University, The Institute of Technology. Linköping University, Department of Physics, Chemistry and Biology, Computational Biology.
2007 (English)In: Advances in Probabilistic Graphical Models / [ed] Peter Lucas, José A. Gámez, Antonio Salmerón., Berlin: Springer Verlag , 2007, 1, 359-376 p.Chapter in book (Other academic)
Abstract [en]

This book brings together important topics of current research in probabilistic graphical modeling, learning from data and probabilistic inference. Coverage includes such topics as the characterization of conditional independence, the learning of graphical models with latent variables, and extensions to the influence diagram formalism as well as important application fields, such as the control of vehicles, bioinformatics and medicine.

Place, publisher, year, edition, pages
Berlin: Springer Verlag , 2007, 1. 359-376 p.
Series
Studies in Fuzziness and soft Computing, Vol: 213
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:liu:diva-38394Local ID: 44148ISBN: 978-35-4068-994-2 (print)ISBN: 354-06-8994-X (print)OAI: oai:DiVA.org:liu-38394DiVA: diva2:259243
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2013-08-15Bibliographically approved

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Peña, Jose M.Tegnér, Jesper

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