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概率图模型—原理与技术(英文版)
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2017-12-19
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《概率图模型—原理与技术》((美)科勒,(以)弗里德曼著)这本书的英文版,内容很清晰,适合做模式识别,图像处理方向的人阅读。英文版内容更清楚易懂,可以避开翻译中的很多问题。
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DAPHNE KOLLER AND NIR FRIEDMAN
PROBABILISTIC GRAPHICAL MODELS
PRINCIPLES AND TECHNIQUES
Probabilistic Graphical Models
Adaptive Computation and Machine Learning
Thomas Dietterich, Editor
Christopher Bishop, David Heckerman, Michael Jordan, and Michael Kearns, Associate Editors
Bioinformatics: The Machine Learning Approach, Pierre Baldi and Søren Brunak
Reinforcement Learning: An Introduction, Richard S. Sutton and Andrew G. Barto
Graphical Models for Machine Learning and Digital Communication, Brendan J. Frey
Learning in Graphical Models, Michael I. Jordan
Causation, Prediction, and Search, 2nd ed., Peter Spirtes, Clark Glymour, and Richard Scheines
Principles of Data Mining, David Hand, Heikki Mannila, and Padhraic Smyth
Bioinformatics: The Machine Learning Approach, 2nd ed., Pierre Baldi and Søren Brunak
Learning Kernel Classifiers: Theory and Algorithms, Ralf Herbrich
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond, Bern-
hard Schölkopf and Alexander J. Smola
Introduction to Machine Learning, Ethem Alpaydin
Gaussian Processes for Machine Learning, Carl Edward Rasmussen and Christopher K. I. Williams
Semi-Supervised Learning, Olivier Chapelle, Bernhard Schölkopf, and Alexander Zien, eds.
The Minimum Description Length Principle, Peter D. Grünwald
Introduction to Statistical Relational Learning, Lise Getoor and Ben Taskar, eds.
Probabilistic Graphical Models: Principles and Techniques, Daphne Koller and Nir Friedman
Probabilistic Graphical Models
Principles and Techniques
Daphne Koller
Nir Friedman
The MIT Press
Cambridge, Massachusetts
London, England
©2009 Massachusetts Institute of Technology
All rights reserved. No part of this book may be reproduced in any form by any electronic
or mechanical means (including photocopying, recording, or information storage and retrieval)
without permission in writing from the publisher.
For information about special quantity discounts, please email special_sales@mitpress.mit.edu
This book was set by the authors in L
A
T
E
X2
.
Printed and bound in the United States of America.
Library of Congress Cataloging-in-Publication Data
Koller, Daphne.
Probabilistic Graphical Models: Principles and Techniques / Daphne Koller and Nir Friedman.
p. cm. – (Adaptive computation and machine learning)
Includes bibliographical references and index.
ISBN 978-0-262-01319-2 (hardcover : alk. paper)
1. Graphical modeling (Statistics) 2. Bayesian statistical decision theory—Graphic methods. I.
Koller, Daphne. II. Friedman, Nir.
QA279.5.K65 2010
519.5’420285–dc22
2009008615
109876543
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