Knowledge Discovery With Support Vector Machines - Couverture rigide

Hamel, Lutz H.

Couverture rigide

ISBN 10 : 0470371927 ISBN 13 : 9780470371923

Editeur : Wiley-Interscience, 2009

Synopsis

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 and goes on to cover:

• Knowledge discovery environments

• Describing data mathematically

• Linear decision surfaces and functions

• Perceptron learning

• Maximum margin classifiers

• Support vector machines

• Elements of statistical learning theory

• Multi-class classification

• Regression with support vector machines

• Novelty detection

Complemented with hands-on exercises, algorithm descriptions, and data sets, Knowledge Discovery with Support Vector Machines is an invaluable textbook for advanced undergraduate and graduate courses. It is also an excellent tutorial on support vector machines for professionals who are pursuing research in machine learning and related areas.

A propos du livre

À propos de l?auteur

Lutz Hamel, PhD, teaches at the University of Rhode Island, where he founded the machine learning and data mining group. His major research interests are computational logic, machine learning, evolutionary computation, data mining, bioinformatics, and computational structures in art and literature.

Détails de l'édition

• Éditeur: Wiley-Interscience
• Date d'édition: 2009
• Langue: anglais
• ISBN 10: 0470371927
• ISBN 13: 9780470371923
• Reliure: Relié
• Nombre de pages: 262
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible