Modeling and Reasoning with Bayesian Networks Cambridge University Press, 2009 - 548 pages A thorough introduction to the formal foundations and practical applications of Bayesian networks, this work 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. |
