文档介绍：Christopher M. Bishop
Pattern Recognition and
Machine Learning
Christopher M. Bishop .
Assistant Director
Microsoft Research Ltd
Cambridge CB3 0FB, .
cmbishop@
http://research./ϳcmbishop
Series Editors
Michael Jordan Professor Jon Kleinberg Bernhard Scho¨lkopf
Department puter Department puter Max Planck Institute for
Science and Department Science Biological ics
of Statistics Cornell University Spemannstrasse 38
University of California, Ithaca, NY 14853 72076 Tu¨bingen
Berkeley USA Germany
Berkeley, CA 94720
USA
Library of Congress Control Number: 2006922522
ISBN-10: 0-387-31073-8
ISBN-13: 978-0387-31073-2
Printed on acid-free paper.
© 2006 Springer Science+Business Media, LLC
All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher
(Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection
with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation,
computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden.
The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such,
is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights.
Printed in Singapore. (KYO)
987654321
This book is dedicated to my family:
Jenna, Mark, and Hugh
Total eclipse of the sun, Antalya, Turkey, 29 March 2006.
Preface
Pattern recognition has its origins in engineering, whereas machine learning grew
out puter 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
e mainstream, while graphical models hav