Librería: WeBuyBooks, Rossendale, LANCS, Reino Unido
EUR 55,90
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoCondición: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Librería: Studibuch, Stuttgart, Alemania
EUR 49,92
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritohardcover. Condición: Befriedigend. 798 Seiten; 9780387310732.4 Gewicht in Gramm: 2.
EUR 62,52
Convertir monedaCantidad disponible: 4 disponibles
Añadir al carritoCondición: NEW.
Publicado por Springer-Verlag New York Inc., 2016
ISBN 10: 1493938436 ISBN 13: 9781493938438
Idioma: Inglés
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 69,41
Convertir monedaCantidad disponible: 4 disponibles
Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 72,97
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Publicado por Springer-Verlag New York Inc., 2016
ISBN 10: 1493938436 ISBN 13: 9781493938438
Idioma: Inglés
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 79,02
Convertir monedaCantidad disponible: 4 disponibles
Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Publicado por Springer-Verlag New York Inc., 2006
ISBN 10: 0387310738 ISBN 13: 9780387310732
Idioma: Inglés
Librería: Anybook.com, Lincoln, Reino Unido
EUR 63,72
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoCondición: 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.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 65,71
Convertir monedaCantidad disponible: 5 disponibles
Añadir al carritoCondición: New.
EUR 79,23
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
EUR 69,40
Convertir monedaCantidad disponible: 5 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 70,72
Convertir monedaCantidad disponible: 5 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Springer Verlag New York, 2016
ISBN 10: 1493938436 ISBN 13: 9781493938438
Idioma: Inglés
Librería: KALAMO BOOKS, Burriana, CS, España
EUR 86,10
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoTapa dura. Condición: Nuevo.
Librería: thebookforest.com, San Rafael, CA, Estados Unidos de America
EUR 44,78
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoCondición: New. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 79,38
Convertir monedaCantidad disponible: 3 disponibles
Añadir al carritoCondición: New. pp. 758.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 77,37
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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.
EUR 70,88
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoCondición: 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.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 90,64
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Publicado por Springer New York Aug 2006, 2006
ISBN 10: 0387310738 ISBN 13: 9780387310732
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 78,79
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: 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.
Publicado por Springer New York, Springer US Aug 2016, 2016
ISBN 10: 1493938436 ISBN 13: 9781493938438
Idioma: Inglés
Librería: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Alemania
EUR 80,24
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: 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.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 89,32
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoCondición: New. In.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 84,73
Convertir monedaCantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 758.
Publicado por Springer New York, Springer US Aug 2016, 2016
ISBN 10: 1493938436 ISBN 13: 9781493938438
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 82,21
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: 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.
Librería: Goodwill Books, Hillsboro, OR, Estados Unidos de America
EUR 30,15
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoCondición: Good. Signs of wear and consistent use.
EUR 79,65
Convertir monedaCantidad disponible: 5 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 80,10
Convertir monedaCantidad disponible: 10 disponibles
Añadir al carritoPF. Condición: New.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 92,25
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Seattle Goodwill, Seattle, WA, Estados Unidos de America
EUR 31,00
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoCondición: Good. Pages include notes, underlining, or highlighting. 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!
Librería: clickgoodwillbooks, Indianapolis, IN, Estados Unidos de America
EUR 30,11
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoCondición: Acceptable. This is a hard cover book: Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may be missing bundled media.
Librería: Dream Books Co., Denver, CO, Estados Unidos de America
EUR 34,65
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoCondición: 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!
EUR 79,71
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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.