A Probabilistic Theory of Pattern Recognition

Name: A Probabilistic Theory of Pattern Recognition
SKU: 2048681
Price: 342.99 AUD
Availability: InStock

By:

Format:

Hardback

Series:

Stochastic Modelling and Applied Probability

Show Hide Adult Content

$342.99

Available from supplier

Usually ships in 3-4 weeks

0 in Trolley

Price Match

Wrap this item as a gift ($5.90) - add a free gift card on the next page

Buy Now, Pay Later with:

4 payments of $85.75 with Afterpay Learn more

Availability

Delivering to:

Estimated arrival:

Around 27 Jun - 9 Jul using International Courier

Description

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.

Release date Australia

April 4th, 1996

Author

Audiences

Postgraduate, Research & Scholarly
Professional & Vocational

Illustrations

XV, 638 p.

Pages

638

Series

Stochastic Modelling and Applied Probability

Dimensions

156x234x34

ISBN-13

9780387946184

Product ID

2048681

Customer reviews

Nobody has reviewed this product yet. You could be the first!

Write a Review

Marketplace listings

There are no Marketplace listings available for this product currently.
Already own it? Create a free listing and pay just 9% commission when it sells!

Sell Yours Here