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Knowledge discovery with support vector machines /

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An easy-to-follow introduction to support vector machines. This book provides an in-depth, easy-to-follow introduction to support vector machines drawing only from minimal, carefully motivated technical and mathematical background material. It begins with a cohesive discussion of machine learning an...

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Bibliographic Details
Main Author: Hamel, Lutz
Format: eBook
Language:English
Published: Hoboken, N.J. : Wiley, [2009]
Series:Wiley Online Library.
Wiley series on methods and applications in data mining.
Subjects:
Computer algorithms.
Data mining.
Machine learning.
Support vector machines.
COMPUTERS > Cybernetics.
COMPUTERS > Programming > Open Source.
COMPUTERS > Software Development & Engineering > General.
COMPUTERS > Software Development & Engineering > Tools.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • KNOWLEDGE DISCOVERY WITH SUPPORT VECTOR MACHINES; CONTENTS; PREFACE; PART I; 1 WHAT IS KNOWLEDGE DISCOVERY?; 2 KNOWLEDGE DISCOVERY ENVIRONMENTS; 3 DESCRIBING DATA MATHEMATICALLY; 4 LINEAR DECISION SURFACES AND FUNCTIONS; 5 PERCEPTRON LEARNING; 6 MAXIMUM-MARGIN CLASSIFIERS; PART II; 7 SUPPORT VECTOR MACHINES; 8 IMPLEMENTATION; 9 EVALUATING WHAT HAS BEEN LEARNED; 10 ELEMENTS OF STATISTICAL LEARNING THEORY; PART III; 11 MULTICLASS CLASSIFICATION; 12 REGRESSION WITH SUPPORT VECTOR MACHINES; 13 NOVELTY DETECTION; APPENDIX A NOTATION; APPENDIX B TUTORIAL INTRODUCTION TO R.