Learning and validating Bayesian network models of gene networks
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)
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.
, Studies in Fuzziness and soft Computing, Vol: 213
IdentifiersURN: urn:nbn:se:liu:diva-38394Local ID: 44148ISBN: 978-35-4068-994-2ISBN: 354-06-8994-XOAI: oai:DiVA.org:liu-38394DiVA: diva2:259243