Articles liés à Pattern Recognition and Machine Learning
Synopsis
This is the first text on pattern recognition to present the Bayesian viewpoint, one that has become increasing popular in the last five years. It presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It provides the first text to use graphical models to describe probability distributions when there are no other books that apply graphical models to machine learning. It is also the first four-color book on pattern recognition. The book is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. Extensive support is provided for course instructors, including more than 400 exercises, graded according to difficulty. Example solutions for a subset of the exercises are available from the book web site, while solutions for the remainder can be obtained by instructors from the publisher.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Chris Bishop is a Microsoft Distinguished Scientist and the Laboratory Director at Microsoft Research Cambridge. He is also Professor of Computer Science at the University of Edinburgh, and a Fellow of Darwin College, Cambridge. In 2004, he was elected Fellow of the Royal Academy of Engineering, and in 2007 he was elected Fellow of the Royal Society of Edinburgh.
Chris obtained a BA in Physics from Oxford, and a PhD in Theoretical Physics from the University of Edinburgh, with a thesis on quantum field theory. He then joined Culham Laboratory where he worked on the theory of magnetically confined plasmas as part of the European controlled fusion programme.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Acheter neuf
Afficher cet article
EUR 70,18
EUR 6,91 expédition depuis Royaume-Uni vers France
Destinations, frais et délaisRésultats de recherche pour Pattern Recognition and Machine Learning
Image d'archives
Pattern Recognition and Machine Learning
Edité par
Springer New York, 2006
ISBN 10 : 0387310738
ISBN 13 : 9780387310732
Ancien ou d'occasion
Couverture rigide
Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages. N° de réf. du vendeur 4761332-20
Quantité disponible : 1 disponible(s)
Image d'archives
Information Science and Statistics: Pattern Recognition and Machine Learning
Edité par
Springer-Verlag New York Inc., 2006
ISBN 10 : 0387310738
ISBN 13 : 9780387310732
Ancien ou d'occasion
Couverture rigide
Vendeur : Anybook.com, Lincoln, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
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. N° de réf. du vendeur 9880403
Quantité disponible : 1 disponible(s)
Image d'archives
PATTERN RECOGNITION AND MACHINE LEARNIN
Vendeur : Speedyhen, London, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : NEW. N° de réf. du vendeur NW9780387310732
Quantité disponible : 3 disponible(s)
Image d'archives
Pattern Recognition and Machine Learning
Edité par
Springer New York, 2006
ISBN 10 : 0387310738
ISBN 13 : 9780387310732
Neuf
Couverture rigide
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur GB-9780387310732
Quantité disponible : 3 disponible(s)
Image d'archives
Pattern Recognition and Machine Learning (Information Science and Statistics)
Edité par
Springer, 2006
ISBN 10 : 0387310738
ISBN 13 : 9780387310732
Ancien ou d'occasion
Couverture rigide
Vendeur : Goodwill Books, Hillsboro, OR, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : Good. Signs of wear and consistent use. N° de réf. du vendeur 3IIK10005U95_ns
Quantité disponible : 1 disponible(s)
Image d'archives
Pattern Recognition and Machine Learning (Information Science and Statistics)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9780387310732_new
Quantité disponible : 3 disponible(s)
Image fournie par le vendeur
Pattern Recognition and Machine Learning
Edité par
Springer New York Aug 2006, 2006
ISBN 10 : 0387310738
ISBN 13 : 9780387310732
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
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. N° de réf. du vendeur 9780387310732
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Pattern Recognition and Machine Learning (Information Science and Statistics)
Edité par
Springer, 2006
ISBN 10 : 0387310738
ISBN 13 : 9780387310732
Ancien ou d'occasion
Couverture rigide
Vendeur : Scissortail, Oklahoma City, OK, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please donât hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading! N° de réf. du vendeur STM.36N
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Pattern Recognition and Machine Learning
Edité par
Springer New York, 2006
ISBN 10 : 0387310738
ISBN 13 : 9780387310732
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
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. N° de réf. du vendeur 194599092
Quantité disponible : 5 disponible(s)
Image d'archives
Pattern Recognition and Machine Learning
impression à la demandeVendeur : Majestic Books, Hounslow, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. pp. xx + 738 304 Illus. (Col.) This item is printed on demand. N° de réf. du vendeur 7599434
Quantité disponible : 3 disponible(s)