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Title: Learning in Graphical Models (Adaptive Computation and Machine Learning) by Michael I. Jordan ISBN: 0-262-60032-3 Publisher: MIT Press Pub. Date: 27 November, 1998 Format: Paperback Volumes: 1 List Price(USD): $70.00 |
Average Customer Rating: 4.5 (2 reviews)
Rating: 4
Summary: Recommended, but not the place to begin
Comment: The title of the book is somewhat misleading, in that most of the research papers involve advanced issues concerning one particular graphical model, namely the Bayesian network. For this reason I highly recommend, as a prerequisite to this book, Finn Jensen's "Bayesian Networks and Decision Graphs". Jensen's book is adequate in giving a good introduction and overview of the subject, but not sufficient for calling oneself an "expert" upon successfully digesting it.
To its credit, "Learning in Graphical Models" has several well-written and interesting papers, but the tutorial papers just did not seem enough of an introduction for me to feel comfortable using it as a first source of introduction.
What I find most compelling about Bayesian networks is the fact that they seem both highly modular (which facilitates reusability and network interconnectivity) and can be designed in a semi-rational manner (contrast this with neural-network architectures for which few good algorithms exist for determining size and number of layers). For this reason I imagine they will be important players in future engineering projects that require learning and adaptation.
Rating: 5
Summary: Simply Superb...
Comment: My area of research revolves around graphical models... Best Book... The book that introduced me as to how effective graphical models are... As stated in the editorial review, graphical model is the marriage between graph theory and probability and this book justifies the sacredness of this marriage!
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Title: Learning Bayesian Networks by Richard E. Neapolitan ISBN: 0130125342 Publisher: Prentice Hall Pub. Date: 01 April, 2003 List Price(USD): $74.00 |
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Title: Causality : Models, Reasoning, and Inference by Judea Pearl ISBN: 0521773628 Publisher: Cambridge University Press Pub. Date: 13 March, 2000 List Price(USD): $43.00 |
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Title: Bayesian Networks and Decision Graphs by Finn V. Jensen ISBN: 0387952594 Publisher: Springer Verlag Pub. Date: 06 July, 2001 List Price(USD): $74.95 |
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Title: Probabilistic Reasoning in Intelligent Systems : Networks of Plausible Inference by Judea Pearl ISBN: 1558604790 Publisher: Morgan Kaufmann Pub. Date: 01 September, 1988 List Price(USD): $73.95 |
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Title: Graphical Models: Foundations of Neural Computation (Computational Neuroscience) by Michael I. Jordan, Terrence J. Sejnowski ISBN: 0262600420 Publisher: MIT Press Pub. Date: 01 September, 2001 List Price(USD): $37.00 |
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