Cover image for Innovations in bayesian networks : theory and applications
Title:
Innovations in bayesian networks : theory and applications
Publication Information:
Berlin : Springer, 2008
Physical Description:
x, 317 p. : ill. ; 25 cm.
ISBN:
9783540850656

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30000010194134 QA279.5 I56 2008 Open Access Book Book
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Summary

Summary

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.


Table of Contents

Dawn E. Holmes and Lakhmi C. JainRichard E. NeapolitanDavid HeckermanKevin B. Korb and Ann E. NicholsonDaryle Niedermayer, I.S.P.Sylvia Nagl and Matt Williams and Jon WilliamsonXia Jiang and Michael M. Wagner and Gregory F. CooperEitel J.M. LauriaSam Maes and Philippe Leray and Stijn MeganckM. Julia Flores and Jose A. Gamez and Serafin MoralDawn E. HolmesRodrigo de Salvo Braz and Eyal Amir and Dan Roth
1 Introduction to Bayesian Networksp. 1
2 A Polemic for Bayesian Statisticsp. 7
3 A Tutorial on Learning with Bayesian Networksp. 33
4 The Causal Interpretation of Bayesian Networksp. 83
5 An Introduction to Bayesian Networks and Their Contemporary Applicationsp. 117
6 Objective Bayesian Nets for Systems Modelling and Prognosis in Breast Cancerp. 131
7 Modeling the Temporal Trend of the Daily Severity of an Outbreak Using Bayesian Networksp. 169
8 An Information-Geometric Approach to Learning Bayesian Network Topologies from Datap. 187
9 Causal Graphical Models with Latent Variables: Learning and Inferencep. 219
10 Use of Explanation Trees to Describe the State Space of a Probabilistic-Based Abduction Problemp. 251
11 Toward a Generalized Bayesian Networkp. 281
12 A Survey of First-Order Probabilistic Modelsp. 289
Author Indexp. 319