Innovations in Bayesian networks : theory and applications

Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. Each of the twelve chapters is self-contained. Both t...

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Detaylı Bibliyografya
Yazar: Holmes, Dawn E.
Diğer Yazarlar: Kacprzyk, Janusz, 1947- (Yayın yönetmeni), Holmes, Dawn E., 19..- (Yayın yönetmeni), Jain, Lakhmi C., 1946- (Yayın yönetmeni)
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edisyon:1st ed. 2008.
Seri Bilgileri:Studies in Computational Intelligence 156
Online Erişim:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Not: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Innovations in Bayesian Networks, Texte imprimé, 9783540873112
• Innovations in Bayesian Networks, Texte imprimé, 9783642098758
• Innovations in Bayesian Networks, Texte imprimé, 9783540850656
• Innovations in Bayesian Networks, Texte imprimé, 9783540873112
• Innovations in Bayesian Networks, Texte imprimé, 9783642098758
• Innovations in Bayesian Networks, Texte imprimé, 9783540850656
Diğer Bilgiler
Özet:Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. Each of the twelve chapters is self-contained. Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Graduate students since it shows the direction of current research.
Diğer Bilgileri:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540850663
ISSN:1860-9503
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Accès soumis à abonnement pour tout autre établissement
Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017