Springer 2006 2006. Corr. 2nd Printing 2011 ed. Hardcover Very Good 0387310738. This book is in very good condition; no remainder marks. It does have some cover shelfwear and corner wear. Inside pages are clean.; Information Science and Statistics; Height: 10.2 Inches, Leng; 738 pages.

ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer New York] Hardcover First text on pattern recognition to present the Bayesian viewpoint, one that has become increasing popular in the last five years. Presents approximate inference algorithms that permit fast approximate answers in situations where exact answers ar.
[Greven, Germany] [Publication Year: 2006]
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Berlin Springer New York 2006 2006. Corr. 2nd Printing 2011 ed. Hard cover New in new dust jacket.

ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer New York] Hardcover First text on pattern recognition to present the Bayesian viewpoint, one that has become increasing popular in the last five years. Presents approximate inference algorithms that permit fast approximate answers in situations where exact answers ar.
[Greven, Germany] [Publication Year: 2006]
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Springer, August Date: 2006. Hardcover . Like New/no No Jacket. As new, tight and square, no writing, sharp 2006. Springer ISBN 0387310738 9780387310732 [US]

ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer August 2006] Hardcover As new, tight and square, no writing, sharp
[Pella, IA, U.S.A.] [Publication Year: 2006]

Springer 2009 2006. Corr. 2nd Printing 2011 ed. Hardcover 2009. Springer. Hardcover. GOOD Blue and yellow titles, illustrated boards. 10x7.

ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer-Verlag New York Inc.] Hardcover 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
[Lincoln, United Kingdom] [Publication Year: 2006]

ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer-Verlag New York Inc.] Hardcover 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
[Lincoln, United Kingdom] [Publication Year: 2006]

ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer Nature Singapore Aug 2006] Hardcover 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.
[Einbeck, Germany] ...
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ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer Nature Singapore Aug 2006] Hardcover 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 ...
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This book is in very good condition and ready for quick shipment ISBN 0387310738 9780387310732 [US]

Springer 2006 2006. Corr. 2nd Printing 2011 ed. Hard cover Good May have notes, highlighting, wear and tear. Supplements not guaranteed. Please contact us if you have any questions.

ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer, India] Softcover No markings.
[Menlo Park, CA, U.S.A.] [Publication Year: 2013]

ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer] Hardcover Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.
[San Rafael, CA, U.S.A.] [Publication Year: 2006]

ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer] Hardcover 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).
[Columbia, MO, U.S.A.] [Publication Year: 2006]

ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer] Hardcover 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 Goodwills nonprofit mission!
[Seattle, WA, U.S.A.] [Publication Year: 2006]

ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer] Hardcover Minimal wear to cover. Pages clean and binding tight. Shelfwear. Bumped edges. Minor Exterior Wear. Pages clean. Binding tight. Hardcover.
[New York, NY, U.S.A.] [Publication Year: 2006]

ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer] Hardcover
[Moncks Corner, SC, U.S.A.] [Publication Year: 2006]

ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer] Hardcover Prompt service guaranteed.
[Tijeras, NM, U.S.A.] [Publication Year: 2006]

ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer] Hardcover Very Good Copy. Customer Service Guaranteed
[Denver, CO, U.S.A.] [Publication Year: 2006]

ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer] Hardcover
[Denver, CO, U.S.A.] [Publication Year: 2006]

ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer] Hardcover
[Miami, FL, U.S.A.] [Publication Year: 2006]

ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer (edition )] Hardcover Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported
[Philadelphia, PA, U.S.A.] [Publication Year: 2006]

ISBN10: 0387310738, ISBN13: 9780387310732, [publisher: Springer] Hardcover 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.
[Tucson, AZ, U.S.A.] [Publication Year: 2006]