Language: English
Published by The MIT Press (edition 1), 2009
ISBN 10: 0262013193 ISBN 13: 9780262013192
Seller: BooksRun, Philadelphia, PA, U.S.A.
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.
Condition: good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly!
Seller: HPB-Red, Dallas, TX, U.S.A.
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!
Seller: Textbooks_Source, Columbia, MO, U.S.A.
First Edition
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).
Language: English
Published by Morgan & Claypool Publishers, 2013
ISBN 10: 162705197X ISBN 13: 9781627051972
Seller: suffolkbooks, Center moriches, NY, U.S.A.
paperback. Condition: Very Good. Fast Shipping - Safe and Secure 7 days a week!
Condition: Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp. NOT AVAILABLE FOR SHIPMENT OUTSIDE OF THE UNITED STATES.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Seller: Bellwetherbooks, McKeesport, PA, U.S.A.
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.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. x, 315 pages, illustrations some color.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 74.84
Quantity: Over 20 available
Add to basketCondition: New. In English.
Condition: New. 1st edition NO-PA16APR2015-KAP.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. x, 315 pages, illustrations some color First edition Includes bibliographical references and index.
Language: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032039507 ISBN 13: 9781032039503
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
US$ 79.19
Quantity: 1 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 79.15
Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 79.18
Quantity: Over 20 available
Add to basketCondition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 83.46
Quantity: Over 20 available
Add to basketCondition: New. In.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. x, 315 pages, illustrations some color.
Seller: ReviBlio, Barcelona, B, Spain
First Edition
Condition: Very good. This book a is a comprehensive, landmark textbook that provides a general framework for constructing and using probabilistic models of complex systems. Its primary focus is on how to represent and reason about uncertainty in complex, real-world domains like computer vision, robotics, and computational biology. The book is structured around the three fundamental cornerstones of the probabilistic graphical model (PGM) framework: Representation: Discusses various models, including Bayesian Networks (directed graphs) and Undirected Markov Networks, as ways to compactly encode joint probability distributions over many variables using conditional independence assumptions. Inference: Details the algorithms and techniques (both exact and approximate, like belief propagation and sampling methods) for answering probabilistic queries, such as finding the probability of an event given some evidence. Learning: Covers methods for automatically constructing the models from data, including estimating model parameters and learning the underlying graph structure. Finally, the book extends the framework to cover advanced topics such as causal reasoning and decision making under uncertainty. It is widely regarded as a definitive reference for students and researchers in artificial intelligence and machine learning.
Seller: Revaluation Books, Exeter, United Kingdom
US$ 111.37
Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 330 pages. 10.00x7.00x10.00 inches. In Stock.
Seller: thebookforest.com, San Rafael, CA, U.S.A.
Condition: New. New.
Hardcover. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Seller: ALLBOOKS1, Direk, SA, Australia
Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Seller: ALLBOOKS1, Direk, SA, Australia
Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Condition: new.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Condition: New.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 1st edition NO-PA16APR2015-KAP.
Condition: very good. 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.