Signed Edition Sweepstakes
 
 

Recently Viewed clear list


Original Essays | September 30, 2014

Benjamin Parzybok: IMG A Brief History of Video Games Played by Mayors, Presidents, and Emperors



Brandon Bartlett, the fictional mayor of Portland in my novel Sherwood Nation, is addicted to playing video games. In a city he's all but lost... Continue »
  1. $11.20 Sale Trade Paper add to wish list

    Sherwood Nation

    Benjamin Parzybok 9781618730862

spacer
Qualifying orders ship free.
$135.25
New Hardcover
Ships in 1 to 3 days
Add to Wishlist
available for shipping or prepaid pickup only
Available for In-store Pickup
in 7 to 12 days
Qty Store Section
25 Remote Warehouse Mathematics- Probability and Statistics

This title in other editions

A Probabilistic Theory of Pattern Recognition

by

A Probabilistic Theory of Pattern Recognition Cover

 

Synopses & Reviews

Publisher Comments:

Pattern recognition presents one of the most significant challenges for scientists and engineers, and many different approaches have been proposed. The aim of this book is to provide a self-contained account of probabilistic analysis of these approaches. The book includes a discussion of distance measures, nonparametric methods based on kernels or nearest neighbors, Vapnik-Chervonenkis theory, epsilon entropy, parametric classification, error estimation, free classifiers, and neural networks. Wherever possible, distribution-free properties and inequalities are derived. A substantial portion of the results or the analysis is new. Over 430 problems and exercises complement the material.

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.

Description:

Includes bibliographical references (p. [593]-618) and indexes.

Table of Contents

Preface * Introduction * The Bayes Error * Inequalities and alternate distance measures * Linear discrimination * Nearest neighbor rules * Consistency * Slow rates of convergence Error estimation * The regular histogram rule * Kernel rules Consistency of the k-nearest neighbor rule * Vapnik-Chervonenkis theory * Combinatorial aspects of Vapnik-Chervonenkis theory * Lower bounds for empirical classifier selection * The maximum likelihood principle * Parametric classification * Generalized linear discrimination * Complexity regularization * Condensed and edited nearest neighbor rules * Tree classifiers * Data-dependent partitioning * Splitting the data * The resubstitution estimate * Deleted estimates of the error probability * Automatic kernel rules * Automatic nearest neighbor rules * Hypercubes and discrete spaces * Epsilon entropy and totally bounded sets * Uniform laws of large numbers * Neural networks * Other error estimates * Feature extraction * Appendix * Notation * References * Index

Product Details

ISBN:
9780387946184
With:
Lugosi, Gabor
With:
Gyorfi, Laszlo
With:
Lugosi, Gabor
Author:
Gyrfi, Laszlo
Author:
Devroye, Luc
Author:
Lugosi, Gabor
Author:
Gyorfi, Laszio
Author:
Gyarfi, Laszlo
Author:
Gyorfi, Laszlo
Publisher:
Springer
Location:
New York, NY
Subject:
Probability
Subject:
Probabilities
Subject:
Pattern perception
Subject:
Probability & Statistics - General
Subject:
Statistics
Subject:
Probability Theory and Stochastic Processes
Subject:
Pattern recognition.
Subject:
Mathematics | Probability and Statistics
Subject:
Mathematics
Subject:
Language, literature and biography
Subject:
mathematics and statistics
Subject:
Distribution (Probability theory)
Subject:
Optical pattern recognition
Copyright:
Edition Description:
1996. Corr. 2nd
Series:
Stochastic Modelling and Applied Probability
Series Volume:
31
Publication Date:
19960404
Binding:
HARDCOVER
Language:
English
Illustrations:
Yes
Pages:
651
Dimensions:
235 x 155 mm 2420 gr

Other books you might like

  1. A Geometrical Picture Book... New Trade Paper $108.50
  2. Generalized Polygons New Hardcover $108.50
  3. A Distribution-Free Theory of... New Hardcover $242.25
  4. Learning with Kernels: Support... New Hardcover $102.25

Related Subjects

Reference » Science Reference » General
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

A Probabilistic Theory of Pattern Recognition New Hardcover
0 stars - 0 reviews
$135.25 In Stock
Product details 651 pages Springer-Verlag - English 9780387946184 Reviews:
"Synopsis" by , 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.
spacer
spacer
  • back to top
Follow us on...




Powell's City of Books is an independent bookstore in Portland, Oregon, that fills a whole city block with more than a million new, used, and out of print books. Shop those shelves — plus literally millions more books, DVDs, and gifts — here at Powells.com.