Type d'article
Etat
Reliure
Particularités
Pays
Evaluation du vendeur
Edité par Springer (edition ), 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
Livre
Hardcover. Etat : Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Edité par Springer (edition ), 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
Livre
Hardcover. Etat : Very Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Edité par Springer, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : Housing Works Online Bookstore, New York, NY, Etats-Unis
Livre
Etat : Very Good. Minimal wear to cover. Pages clean and binding tight. Shelfwear. Bumped edges. Minor Exterior Wear. Pages clean. Binding tight. Hardcover.
Edité par Springer, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : Seattle Goodwill, Seattle, WA, Etats-Unis
Livre
Etat : 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 Goodwills nonprofit mission!.
Edité par Springer, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : Solr Books, Skokie, IL, Etats-Unis
Livre
Etat : Good. Noticeable lower/upper bind wear. Text is mostly clean readable.
Edité par Springer New York, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : TextbookRush, Grandview Heights, OH, Etats-Unis
Livre
Etat : Very Good. Ships SAME or NEXT business day. We Ship to APO/FPO addr. Choose EXPEDITED shipping and receive in 2-5 business days within the United States. See our member profile for customer support contact info. We have an easy return policy.
Edité par Springer, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : Textbooks_Source, Columbia, MO, Etats-Unis
Livre
Hardcover. Etat : 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).
Edité par Springer, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : Book Deals, Tucson, AZ, Etats-Unis
Livre
Etat : 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.
Edité par Springer, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : Byrd Books, Austin, TX, Etats-Unis
Livre
Hardcover. Etat : very good. In Used Condition.
Edité par Springer, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : Amazing Books Pittsburgh, Pittsburgh, PA, Etats-Unis
Livre
Hardcover. Etat : As New. Clean, sturdy, unmarked copy in like new condition. Great copy! Looks brand new. SZ.
Edité par Springer-Verlag New York Inc., 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : Anybook.com, Lincoln, Royaume-Uni
Livre
Etat : 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.
Edité par Springer, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : GoldBooks, Denver, CO, Etats-Unis
Livre
Hardcover. Etat : very good. Very Good Copy. Customer Service Guaranteed.
Edité par Springer, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : thebookforest.com, San Rafael, CA, Etats-Unis
Livre
Etat : New. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.
Edité par Springer, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : Big Bill's Books, Wimberley, TX, Etats-Unis
Livre
Hardcover. Etat : new. Brand New Copy.
Edité par Springer, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : Wizard Books, Long Beach, CA, Etats-Unis
Livre
Hardcover. Etat : new. New.
Edité par Springer, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : Grumpys Fine Books, Tijeras, NM, Etats-Unis
Livre
Hardcover. Etat : new. Prompt service guaranteed.
Edité par Springer, 2009
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : Cambridge Rare Books, Cambridge, GLOUC, Royaume-Uni
Livre
Hardcover. Etat : GOOD. 2009. Springer. Hardcover. GOOD Blue and yellow titles, illustrated boards. 10x7.
Edité par Springer August 2006, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : Pella Books, Pella, IA, Etats-Unis
Livre
Hardcover. Etat : Like New. No Jacket. As new, tight and square, no writing, sharp.
Edité par Springer-Verlag New York Inc., 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : Pieuler Store, Suffolk, Royaume-Uni
Livre
Etat : 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.
Edité par Springer, India, 2013
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : Feldman's Books, Menlo Park, CA, Etats-Unis
Livre
Paper Bound. Etat : Near Fine. No markings.
Edité par Springer New York 2006-08-17, Berlin, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : Blackwell's, London, Royaume-Uni
Livre
hardback. Etat : New. Language: ENG.
Edité par Springer, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : Book Deals, Tucson, AZ, Etats-Unis
Livre
Etat : New. New! This book is in the same immaculate condition as when it was published.
Edité par Springer, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
Livre
Etat : New.
Edité par Springer, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : GoldBooks, Denver, CO, Etats-Unis
Livre
Hardcover. Etat : new. New Copy. Customer Service Guaranteed.
Edité par Springer Nature Singapore Aug 2006, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Allemagne
Livre
Buch. Etat : 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.
Edité par Springer Nature Singapore Aug 2006, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Livre
Buch. Etat : 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.
Edité par Springer-Verlag New York Inc., 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : Pieuler Store, Suffolk, Royaume-Uni
Livre
Etat : new. Book is in NEW condition. Satisfaction Guaranteed! Fast Customer Service!!.
Edité par Springer, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : California Books, Miami, FL, Etats-Unis
Livre
Etat : New.
Edité par Springer New York, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : moluna, Greven, Allemagne
Livre
Etat : New. 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.
Edité par Springer Nature Singapore Aug 2006, 2006
ISBN 10 : 0387310738ISBN 13 : 9780387310732
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Livre
Buch. Etat : 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.