ISBN10: 0262013193, ISBN13: 9780262013192, [publisher: The MIT Press] Hardcover Buy for Great customer experience
[Houston, TX, U.S.A.] [Publication Year: 2009]

Mit Pr, Date: 2009. Hardcover. New. 1st edition. 1231 pages. 9.25x8.25x2.00 inches. 2009. Mit Pr ISBN 0262013193 9780262013192 [GB]

ISBN10: 0262013193, ISBN13: 9780262013192, [publisher: MIT Press Ltd, Cambridge, Mass.] Hardcover Hardcover. A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.Most tasks require a person or an automated system to reason-to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones- representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and ...

ISBN10: 0262013193, ISBN13: 9780262013192, [publisher: MIT Press Ltd, United States, Cambridge, Mass.] Softcover The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
[Goring-By-Sea, WS, United Kingdom] [Publication Year: 2009]

ISBN10: 0262013193, ISBN13: 9780262013192, [publisher: MIT Press Ltd, United States, Cambridge, Mass.] Softcover The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
[Goring-By-Sea, WS, United Kingdom] [Publication Year: 2009]

ISBN10: 0262013193, ISBN13: 9780262013192, [publisher: MIT Press] Hardcover
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MIT Press 2009 Hard cover New, US edition. Satisfaction guaranteed! !

ISBN10: 0262013193, ISBN13: 9780262013192, [publisher: MIT Press Ltd Jul 2009] Hardcover Neuware - A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.Most tasks require a person or an automated system to reason to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality. Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision ...
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ISBN10: 0262013193, ISBN13: 9780262013192, [publisher: MIT Press] Hardcover Daphne Koller is Professor in the Department of Computer Science at Stanford University.Nir Friedman is Professor in the Department of Computer Science and Engineering at Hebrew University.A general framework for constructing and using probab.
[Greven, Germany] [Publication Year: 2009]
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MIT Press 11/16/2009 12: 00: 00 AM Hardcover New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Please note we cannot offer an expedited shipping service from the UK.

MIT Press , pp. 1280 . Hardback. New. MIT Press ISBN 0262013193 9780262013192 [US]

ISBN10: 0262013193, ISBN13: 9780262013192, [publisher: MIT Press] Hardcover New Book. Shipped from UK. Established seller since 2000.
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ISBN10: 0262013193, ISBN13: 9780262013192, [publisher: MIT Press] Hardcover New Book. Shipped from UK. Established seller since 2000.
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Cambridge MIT Press 2009 Hard cover New. Glued binding. Paper over boards. 1270 p. Contains: Illustrations, black & white, Figures. Adaptive Computation and Machine Learning.

MIT Press 11/16/2009 12: 00: 00 AM Hardcover PLEASE NOTE, WE DO NOT SHIP TO DENMARK. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Please note we cannot offer an expedited shipping service from the UK.

ISBN10: 0262013193, ISBN13: 9780262013192, [publisher: The MIT Press] Hardcover Book is in NEW condition. Satisfaction Guaranteed! Fast Customer Service!!
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The MIT Press, Date: 2009-07-31. Hardcover. Good. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Tracking 2009. The MIT Press ISBN 0262013193 9780262013192 [US]

new Date: 2009. The Mit Press ISBN 0262013193 9780262013192 [IN]

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ISBN10: 0262013193, ISBN13: 9780262013192, [publisher: The MIT Press] Hardcover Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
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ISBN10: 0262013193, ISBN13: 9780262013192, [publisher: The MIT Press] Hardcover New Copy. Customer Service Guaranteed
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ISBN10: 0262013193, ISBN13: 9780262013192, [publisher: The MIT Press] Hardcover New. Fast Shipping and good customer service
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The MIT Press 2009-07-31 Hardcover Good Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Tracking.

Hardback. Very Good. ISBN 0262013193 9780262013192 [GB]

ISBN10: 0262013193, ISBN13: 9780262013192, [publisher: The MIT Press] Hardcover 100% Customer Satisfaction Guaranteed ! The book shows some signs of wear from use but is a good readable copy. Cover in excellent condition. Binding tight. Pages in great shape, no tears. Not contain access codes, cd, DVD.
[Suffolk, United Kingdom] [Publication Year: 2009]