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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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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: New.
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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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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
US$ 123.89
US$ 20.10 shipping
Ships from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: 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 : Principles and Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 126.19
US$ 20.10 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketCondition: New.
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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
US$ 133.43
US$ 8.71 shipping
Ships from United Kingdom to U.S.A.Quantity: 3 available
Add to basketCondition: New. pp. 1280.
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Condition: As New. Unread book in perfect condition.
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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
US$ 150.63
US$ 16.06 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketCondition: New. In.
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Hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Probabilistic Graphical Models : Principles and Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 150.59
US$ 20.10 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketCondition: As New. Unread book in perfect condition.
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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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Probabilistic Graphical Models: Principles And Techniques
Language: English
Published by Mit Press, 2009
Hardcover. Condition: New. ISBN:9780262013192.
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Gebunden. Condition: New. 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.
