UsedAcceptable. The item is fairly worn but still readable. The book may have some cosmetic wear (i.e. creased spine/cover, scratches, curled corners, folded pages, sunburn, stains, water damage, bent, torn, damaged binding, dent). - The dust jacket if present, may be marked, and have considerable heavy wear. – The book might be ex-library copy, and may have the markings and stickers associated from the library - The book may have considerable highlights/notes/underlined pages but the text is legible - Accessories such as CD, codes, toys, may not be included - Safe and Secure Mailer - No Hassle Return ISBN 0262013193 9780262013192 [US]

ISBN10: 0262013193, ISBN13: 9780262013192, [publisher: MIT Press Ltd] Hardcover Condition: Very Good, Pages: 1270, Size: 23.6x20.9x5
[Maidenhead, Berkshire, 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 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 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 ...
Show/Hide image

We do not ship to PO/APO/FPO address & bulk orders. Receive this fine as new book in 4-6 business days. Book is in perfect and excellent condition. Supplements like CD, Access Code and Scratch Code etc. May or may not be included. Customer satisfaction is our prime priority. Please feel free to e-mail us if you have any question. ISBN 0262013193 9780262013192 [US]

ISBN10: 0262013193, ISBN13: 9780262013192, [publisher: MIT Press] Hardcover New Book. Shipped from UK. Established seller since 2000.
[Fairford, GLOS, United Kingdom] [Publication Year: 2009]

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 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.
[Berlin, Germany] [Publication Year: 2009]

MIT Press 2009 Hard cover New, US edition. Satisfaction guaranteed! !

MIT Press 2009 Hard cover Fine in fine dust jacket. Great condition! Delivery in 4-6 working days, Supplements like CD, Access Code and Scratch Code etc. may or may not be included. Customer satisfaction is our prime priority. Please feel free to contact us.

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]
Show/Hide image

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

The MIT Press, Date: 2009-07-31. Hardcover. Very Good. 1.9685 in x 9.0551 in x 8.0315 in. 2009. The MIT Press ISBN 0262013193 9780262013192 [US]

The MIT Press 2009 Hardcover Good Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

The MIT Press 2009 Hardcover Good Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

The MIT Press 2009 Hardcover Good Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

The MIT Press 2009 Hardcover Good Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

The MIT Press 2009 Hardcover Good Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

The MIT Press 2009 Hardcover Good Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

The MIT Press 2009 Hardcover Good Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

The MIT Press 2009 Hardcover Good Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

ISBN10: 0262013193, ISBN13: 9780262013192, [publisher: The MIT Press] Hardcover Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
[Dallas, TX, U.S.A.] [Publication Year: 2009]

ISBN10: 0262013193, ISBN13: 9780262013192, [publisher: MIT Press] Hardcover
[Moncks Corner, SC, 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]