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Published by Springer, 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: Solr Books, Skokie, IL, U.S.A.
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Condition: Good. Noticeable lower/upper bind wear. Text is mostly clean readable.
Published by Springer, 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: Seattle Goodwill, Seattle, WA, U.S.A.
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hardcover. Condition: Good. May have some shelf-wear due to normal use. Your purchase funds free job training and education in the greater Seattle area. Thank you for supporting Goodwill's nonprofit mission!.
Published by Springer (edition ), 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: BooksRun, Philadelphia, PA, U.S.A.
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Hardcover. Condition: Fair. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Published by Springer (edition ), 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: BooksRun, Philadelphia, PA, U.S.A.
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Hardcover. Condition: Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Published by Springer (edition ), 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: BooksRun, Philadelphia, PA, U.S.A.
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Hardcover. Condition: Very Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Published by Springer, 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: Housing Works Online Bookstore, New York, NY, U.S.A.
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Condition: Very Good. Minimal wear to cover. Pages clean and binding tight. Shelfwear. Bumped edges. Minor Exterior Wear. Pages clean. Binding tight. Hardcover.
Published by Springer, 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: Irish Booksellers, Portland, ME, U.S.A.
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Condition: Good. SHIPS FROM USA. Used books have different signs of use and do not include supplemental materials such as CDs, Dvds, Access Codes, charts or any other extra material. All used books might have various degrees of writing, highliting and wear and tear and possibly be an ex-library with the usual stickers and stamps. Dust Jackets are not guaranteed and when still present, they will have various degrees of tear and damage. All images are Stock Photos, not of the actual item. book.
Published by Springer, 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: Textbooks_Source, Columbia, MO, U.S.A.
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Hardcover. Condition: Good. 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).
Published by Springer, 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: Book Deals, Tucson, AZ, U.S.A.
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Condition: Good. Good condition. This is the average used book, that has all pages or leaves present, but may include writing. Book may be ex-library with stamps and stickers.
Published by Springer, 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: Amazing Books Pittsburgh, Pittsburgh, PA, U.S.A.
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Hardcover. Condition: As New. Clean, sturdy, unmarked copy in like new condition. Great copy! Looks brand new. SZ.
Published by Springer, 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: Front Cover Books, Denver, CO, U.S.A.
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Condition: new.
Published by Springer, 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: GoldBooks, Denver, CO, U.S.A.
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Hardcover. Condition: new. New Copy. Customer Service Guaranteed.
Published by Springer-Verlag New York Inc., United States, New York, NY, 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Book
Paperback. Condition: Very Good. Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation pro- gation. Similarly, new models based on kernels have had significant impact on both algorithms and applications. This new textbook reacts these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as wellas researchers and practitioners, and assumes no previous knowledge of pattern recognition or - chine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Published by Springer-Verlag New York Inc., 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: Anybook.com, Lincoln, United Kingdom
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Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1850grams, ISBN:9780387310732.
Published by Springer, 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: thebookforest.com, San Rafael, CA, U.S.A.
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Condition: New. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.
Published by Springer, 2009
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: Cambridge Rare Books, Cambridge, GLOUC, United Kingdom
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Hardcover. Condition: GOOD. 2009. Springer. Hardcover. GOOD Blue and yellow titles, illustrated boards. 10x7.
Published by Springer August 2006, 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: Pella Books, Pella, IA, U.S.A.
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Hardcover. Condition: Like New. No Jacket. As new, tight and square, no writing, sharp.
Published by Springer, India, 2013
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: Feldman's Books, Menlo Park, CA, U.S.A.
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Paper Bound. Condition: Near Fine. No markings.
Published by Springer, 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: Byrd Books, Austin, TX, U.S.A.
Book
Hardcover. Condition: very good. In Used Condition.
Published by Springer, 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: Book Deals, Tucson, AZ, U.S.A.
Book
Condition: New. New! This book is in the same immaculate condition as when it was published.
Published by Springer New York 2006-08-17, Berlin, 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: Blackwell's, London, United Kingdom
Book
hardback. Condition: New. Language: ENG.
Published by Springer-Verlag New York Inc., 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: Pieuler Store, Suffolk, United Kingdom
Book
Condition: good. 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.
Published by Springer, 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Condition: New.
Published by Springer, 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: GoldBooks, Denver, CO, U.S.A.
Book
Hardcover. Condition: very good. Very Good Copy. Customer Service Guaranteed.
Published by Springer-Verlag New York Inc., 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: Pieuler Store, Suffolk, United Kingdom
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Condition: new. Book is in NEW condition. Satisfaction Guaranteed! Fast Customer Service!!.
Published by Springer Nature Singapore Aug 2006, 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
Book
Buch. Condition: Neu. Neuware -Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation pro- gation. Similarly, new models based on kernels have had significant impact on both algorithms and applications. This new textbook reacts these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as wellas researchers and practitioners, and assumes no previous knowledge of pattern recognition or - chine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory. 778 pp. Englisch.
Published by Springer Nature Singapore Aug 2006, 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Book
Buch. Condition: Neu. Neuware -Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation pro- gation. Similarly, new models based on kernels have had significant impact on both algorithms and applications. This new textbook reacts these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as wellas researchers and practitioners, and assumes no previous knowledge of pattern recognition or - chine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory. 778 pp. Englisch.
Published by Springer, 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: Campbell Bookstore, Austin, TX, U.S.A.
Book
Condition: very good.
Published by Springer, 2007
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: Studibuch, Stuttgart, Germany
Book
hardcover. Condition: Gut. 758 Seiten; 9780387310732.3 Sprache: Deutsch Gewicht in Gramm: 4.
Published by Springer, 2006
ISBN 10: 0387310738ISBN 13: 9780387310732
Seller: California Books, Miami, FL, U.S.A.
Book
Condition: New.