Paperback. Condizione: Very Good. 2006. 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.
Paperback. Condizione: Very Good. Grade 3 out 5 points. Book has wear on cover and pages. May have personalized notes/names, stickers/labels. Has no markings on pages. May not include extra materials like access codes, CDs, accessories, etc. All orders ship by next business day! We are a small company and very thankful for your business! Softcover reprint of the original 1st ed.
Condizione: Good. Has some wear and creases. Has a remainder mark. paperback Used - Good 2016.
Condizione: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. paperback Used - Acceptable 2016.
paperback. Condizione: New. 2006th Edition. Ships in a BOX from Central Missouri! Ships same or next business day. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
paperback. Condizione: As New. like new EP.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Da: SMASS Sellers, IRVING, TX, U.S.A.
Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 66,95
Quantità: 5 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 68,36
Quantità: 5 disponibili
Aggiungi al carrelloCondizione: New.
Paperback. Condizione: new. New Copy. Customer Service Guaranteed.
Condizione: New. pp. 758.
Da: Majestic Books, Hounslow, Regno Unito
EUR 83,50
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 758.
Da: California Books, Miami, FL, U.S.A.
EUR 92,20
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Springer-Verlag New York Inc., US, 2016
ISBN 10: 1493938436 ISBN 13: 9781493938438
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Paperback. Condizione: New. Softcover Reprint of the Original 1st 2006 ed.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 84,86
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 85,57
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. pp. 758.
Da: Chiron Media, Wallingford, Regno Unito
EUR 82,25
Quantità: 10 disponibili
Aggiungi al carrelloPF. Condizione: New.
Lingua: Inglese
Editore: Springer, Springer Aug 2016, 2016
ISBN 10: 1493938436 ISBN 13: 9781493938438
Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germania
EUR 80,24
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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. 760 pp. Englisch.
Lingua: Inglese
Editore: Springer-Verlag New York Inc., US, 2016
ISBN 10: 1493938436 ISBN 13: 9781493938438
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 119,70
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Softcover Reprint of the Original 1st 2006 ed.
Da: moluna, Greven, Germania
EUR 70,88
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: 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.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 65,76
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Sehr gut. Gebraucht - Sehr gut Sg - leichte Beschädigungen oder Verschmutzungen, ungelesenes Mängelexemplar, gestempelt - 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.