Description: A Probabilistic Theory of Pattern Recognition Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Luc Devroye, Laszlo Gyoerfi, Gabor Lugosi Format: Paperback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9781461268772, 978-1461268772 Synopsis A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further the readers understanding. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field.
Price: 63.66 GBP
Location: Aldershot
End Time: 2025-02-06T03:12:47.000Z
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Book Title: A Probabilistic Theory of Pattern Recognition
Number of Pages: 638 Pages
Language: English
Publication Name: A Probabilistic Theory of Pattern Recognition
Publisher: Springer-Verlag New York Inc.
Publication Year: 2013
Subject: Computer Science, Mathematics
Item Height: 235 mm
Item Weight: 997 g
Type: Textbook
Author: Laszlo Gyoerfi, Gabor Lugosi, Luc Devroye
Series: Stochastic Modelling and Applied Probability
Item Width: 155 mm
Format: Paperback
