Modeling and reasoning with bayesian networks
By: Darwiche, Adnan
Language: English Publisher: United States of America -- Cambridge University Press -- 2009Description: xii, 548pISBN: 9781107678422Subject(s): Mathematics | Bayesian statistical decision theory Graphic methods | Bayesian Analysis | Probability & Statistics | Bayesian inferenceDDC classification: 519.542 DAR/M Summary: Introduces the formal foundations and practical applications of Bayesian networks.Item type | Current location | Collection | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
Book | Central Library General Stack (Nila Campus) | 519.542 DAR/M | Available | 07845 | ||
Book | Central Library General Stack (Nila Campus) | 519.542 DAR/M | Available | 07841 | ||
Book | Central Library General Stack (Nila Campus) | 519.542 DAR/M | Available | 07846 | ||
Book | Central Library General Stack (Nila Campus) | 519.542 DAR/M | Available | 07843 | ||
Reference | Central Library Reference (Sahyadri Campus) | Reference | 519.542 DAR/M | Not for loan | 07840 | |
Book | Central Library General Stack (Nila Campus) | 519.542 DAR/M | Available | 07844 | ||
Book | Central Library General Stack (Nila Campus) | 519.542 DAR/M | Available | 07842 |
*Introduction
*Propositional logic
*Probability calculus
*Bayesian networks
*Building Bayesian networks
*Inference by variable elimination
*Inference by factor elimination
*Inference by conditioning
*Models for graph decomposition
*Most likely instantiations
*The complexity of probabilistic inference
*Compiling Bayesian networks
*Inference with local structure
*Approximate inference by belief propagation
*Approximate inference by stochastic sampling
*Sensitivity analysis
*Learning : the maximum likelihood approach
*Learning : the Bayesian approach
Introduces the formal foundations and practical applications of Bayesian networks.