Innovations in Bayesian Networks

Theory and Applications

Dawn E. Holmes (Herausgeber)

Buch | Hardcover
X, 322 Seiten
2008 | 2008
Springer Berlin (Verlag)
978-3-540-85065-6 (ISBN)

Lese- und Medienproben

Innovations in Bayesian Networks -
213,99 inkl. MwSt
Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume the editors have brought together contributions from some of the most prestigious researchers in this field.

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.

to Bayesian Networks.- A Polemic for Bayesian Statistics.- A Tutorial on Learning with Bayesian Networks.- The Causal Interpretation of Bayesian Networks.- An Introduction to Bayesian Networks and Their Contemporary Applications.- Objective Bayesian Nets for Systems Modelling and Prognosis in Breast Cancer.- Modeling the Temporal Trend of the Daily Severity of an Outbreak Using Bayesian Networks.- An Information-Geometric Approach to Learning Bayesian Network Topologies from Data.- Causal Graphical Models with Latent Variables: Learning and Inference.- Use of Explanation Trees to Describe the State Space of a Probabilistic-Based Abduction Problem.- Toward a Generalized Bayesian Network.- A Survey of First-Order Probabilistic Models.

Erscheint lt. Verlag 2.10.2008
Reihe/Serie Studies in Computational Intelligence
Zusatzinfo X, 322 p. 92 illus.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 578 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Angewandte Mathematik
Technik
Schlagworte Artificial Intelligence • Bayesian Network • Bayesian networks • Computational Intelligence • Hardcover, Softcover / Technik/Allgemeines, Lexika • HC/Technik/Allgemeines, Lexika • Intelligence • learning • Learning Bayesian networks • Modeling • Statistics • System Modeling • Topologie
ISBN-10 3-540-85065-1 / 3540850651
ISBN-13 978-3-540-85065-6 / 9783540850656
Zustand Neuware
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