This 2009 book provides 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.

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Adnan Darwiche is a Professor in the Department of Computer Science at the University of California, Los Angeles.

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