Modeling and Reasoning with Bayesian Networks (BOK)

Adnan Darwiche

999,00 99900
Sendes vanligvis innen 5-15 dager
This book is a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both theoretical and practical levels. The treatment of exact algorithms covers the main inference paradigms based on elimination and conditioning and includes advanced methods for compiling Bayesian networks, time-space tradeoffs, and exploiting local structure of massively connected networks. The treatment of approximate algorithms covers the main inference paradigms based on sampling and optimization and includes influential algorithms such as importance sampling, MCMC, and belief propagation. The author assumes very little background on the covered subjects, supplying in-depth discussions for theoretically inclined readers and enough practical details to provide an algorithmic cookbook for the system developer.

Produktfakta

Språk Engelsk Engelsk Innbinding Innbundet
Utgitt 2009 Forfatter Adnan Darwiche
Forlag
CAMBRIDGE UNIVERSITY PRESS
ISBN 9780521884389
Antall sider 562 Dimensjoner 18,4cm x 26,5cm x 3,6cm
Vekt 1222 gram Leverandør Bertram Trading Ltd
Emner og form Probability & statistics