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Table of contents (32 chapters)
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Front Matter
About this book
Authors and Affiliations
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School of Computer Science, McGill University, Montreal, Canada
Luc Devroye
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Department of Mathematics and Computer Science, Technical University of Budapest, Budapest, Hungary
László Györfi, Gábor Lugosi
Bibliographic Information
Book Title: A Probabilistic Theory of Pattern Recognition
Authors: Luc Devroye, László Györfi, Gábor Lugosi
Series Title: Stochastic Modelling and Applied Probability
DOI: https://doi.org/10.1007/978-1-4612-0711-5
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 1996
Hardcover ISBN: 978-0-387-94618-4Published: 04 April 1996
Softcover ISBN: 978-1-4612-6877-2Published: 22 November 2013
eBook ISBN: 978-1-4612-0711-5Published: 27 November 2013
Series ISSN: 0172-4568
Series E-ISSN: 2197-439X
Edition Number: 1
Number of Pages: XV, 638
Topics: Probability Theory and Stochastic Processes, Pattern Recognition