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Probabilistic Graphical Models
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)
Language: English
Published by The MIT Press (edition 1), 2009
ISBN 10: 0262013193 ISBN 13: 9780262013192
Hardcover. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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hardcover. Condition: Acceptable.
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hardcover. Condition: Good.
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hardcover. Condition: Very Good. Very Good Condition - May show some limited signs of wear and may have a remainder mark. Pages and dust cover are intact and not marred by notes or highlighting.
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Hardcover. Condition: Good. Satisfaction 100% guaranteed.
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Hardcover. Condition: 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!
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hardcover. Condition: Fine. LIKE NEW!!! Has a red or black remainder mark on bottom/exterior edge of pages.
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hardcover. Condition: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Condition: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)
Language: English
Published by The MIT Press August 2009, 2009
ISBN 10: 0262013193 ISBN 13: 9780262013192
Hardcover. Condition: VG. used hardcover without dust jacket as issued. binding remains solid, no marks to text, boards and page edges lightly scuffed but clean.
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Condition: Very Good. hardcover. Page block firm and clean, binding unblemished, boards straight, without markings of any kind. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped.
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hardcover. Condition: As New.
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Condition: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
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Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Probabilistic Graphical Models â" Principles and Techniques (Adaptive Computation and Machine Learning series)
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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hardcover. Condition: new.
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Probabilistic Graphical Models : Principles and Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Condition: New.
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Probabilistic Graphical Models
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Probabilistic Graphical Models : Principles and Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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PROBABILISTIC GRAPHICAL MODELS: PRINCIPLES AND TECHNIQUES
Language: English
Published by The MIT Press Bookstore, 2009
ISBN 10: 0262013193 ISBN 13: 9780262013192
Condition: New. pp. 1280.
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Condition: As New. Unread book in perfect condition.
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Hardcover. Condition: new. New Copy. Customer Service Guaranteed.
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Probabilistic Graphical Models : Principles and Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: NEW.
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Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Probabilistic Graphical Models (Hardcover)
Language: English
Published by MIT Press Ltd, Cambridge, Mass., 2009
ISBN 10: 0262013193 ISBN 13: 9780262013192
Hardcover. Condition: new. 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 decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material- skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs. A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
