An elementary introduction to statistical learning theory

Publication Data

• Title An elementary introduction to statistical learning theory
• Author Sanjeev Kulkarni
• Contributor Gilbert Harman
• Publisher Wiley
• Publication date 2011
• Publication location Oxford
• Language English

Contents

Introduction: Classification, Learning, Features, and Applications
Probability
Probability Densities
The Pattern Recognition Problem
The Optimal Bayes Decision Rule
Learning from Examples
The Nearest Neighbor Rule
Kernel Rules
Neural Networks: Perceptrons
Multilayer Networks
PAC Learning
VC Dimension
Infinite VC Dimension
The Function Estimation Problem
Learning Function Estimation
Simplicity
Support Vector Machines
Boosting
Bibliography.

Topics

• Machine learning :: Statistical methods
• Pattern recognition systems

An elementary introduction to statistical learning theory by Sanjeev Kulkarni. ISBN 9780470641835. Published by Wiley in 2011. Publication and catalogue information, links to buy online and reader comments.