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DATASET SHIFT IN
MACHINE LEARNING
EDITED BY
JOAQUIN QUIÑONERO-CANDELA, MASASHI SUGIYAMA,
ANTON SCHWAIGHOFER, AND NEIL D. LAWRENCE
Dataset Shift in Machine Learning
Neural Information Processing Series
Michael I. Jordan and Thomas Dietterich, editors
Advances in Large Margin Classifiers,
Alexander J. Smola, Peter L. Bartlett,
Bernhard Sch¨lkopf, and Dale Schuurmans, eds., 2000
o
Advanced Mean Field Methods: Theory and Practice,
Manfred Opper and David
Saad, eds., 2001
Probabilistic Models of the Brain: Perception and Neural Function,
Rajesh P. N.
Rao, Bruno A. Olshausen, and Michael S. Lewicki, eds., 2002
Exploratory Analysis and Data Modeling in Functional Neuroimaging,
Friedrich T.
Sommer and Andrzej Wichert, eds., 2003
Advances in Minimum Description Length: Theory and Applications,
Peter D.
Grunwald, In Jae Myung, and Mark A. Pitt, eds., 2005
Nearest-Neighbor Methods in Learning and Vision: Theory and Practice,
Gregory
Shakhnarovich, Piotr Indyk, and Trevor Darrell, eds., 2006
New Directions in Statistical Signal Processing: From Systems to Brains,
Simon
Haykin, Jos´ C. Prncipe, Terrence J. Sejnowski, and John McWhirter, eds., 2007
e
Predicting Structured Data,
G¨khan Bakır, Thomas Hofmann, Bernhard Sch¨lkopf,
o
o
Alexander J. Smola, Ben Taskar, and S. V. N. Vishwanathan, eds., 2007
Toward Brain-Computer Interfacing,
Guido Dornhege, Jos´ del R. Mill´n, Thilo
e
a
Hinterberger, Dennis J. McFarland, and Klaus-Robert M¨ller, eds., 2007
u
Large-Scale Kernel Machines,
L´on Bottou, Olivier Chapelle, Denis DeCoste, and
e
Jason Weston, eds., 2007
Dataset Shift in Machine Learning,
Joaquin Qui˜onero-Candela, Masashi Sugiyama,
n
Anton Schwaighofer, and Neil D. Lawrence, eds., 2009
Dataset Shift in Machine Learning
Joaquin Qui˜onero-Candela
n
Masashi Sugiyama
Anton Schwaighofer
Neil D. Lawrence
The MIT Press
Cambridge, Massachusetts
London, England
c 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.
A
Typeset by the authors using L TEX 2
ε
Library of Congress Control No. 2008020394
Printed and bound in the United States of America
Library of Congress Cataloging-in-Publication Data
Dataset shift in machine learning / edited by Joaquin Qui˜ onero-Candela ... [et al.].
n
p. cm. — (Neural information processing)
Includes bibliographical references and index.
ISBN 978-0-262-17005-5 (hardcover : alk. paper)
1. Machine learning.
Q325.5.D37 2009
006.3’1–dc22
2008020394
10 9 8 7 6 5 4 3 2 1
I. Qui˜ onero-Candela, Joaquin.
n

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