Learning Bayesian Networks

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  • Learning Bayesian Networks Book Detail

  • Author : Richard E. Neapolitan
  • Release Date : 2004
  • Publisher : Prentice Hall
  • Genre : Computers
  • Pages : 704
  • ISBN 13 :
  • File Size : 67,67 MB

Learning Bayesian Networks by Richard E. Neapolitan PDF Summary

Book Description: In this first edition book, methods are discussed for doing inference in Bayesian networks and inference diagrams. Hundreds of examples and problems allow readers to grasp the information. Some of the topics discussed include Pearl's message passing algorithm, Parameter Learning: 2 Alternatives, Parameter Learning r Alternatives, Bayesian Structure Learning, and Constraint-Based Learning. For expert systems developers and decision theorists.

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Learning Bayesian Networks

Learning Bayesian Networks

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In this first edition book, methods are discussed for doing inference in Bayesian networks and inference diagrams. Hundreds of examples and problems allow reade

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Bayesian Networks

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Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity. Their versatility and modelling power is

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Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importanc

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Bayesian Networks

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Explains the material step-by-step starting from meaningful examples Steps detailed with R code in the spirit of reproducible research Real world data analyses