Articoli correlati a Knowledge Discovery With Support Vector Machines

Knowledge Discovery With Support Vector Machines - Rilegato

Libro 2 di 7: Wiley Series on Methods and Applications in Data Mining

Hamel, Lutz

 
9780470371923: Knowledge Discovery With Support Vector Machines
Rilegato
ISBN 10: 0470371927 ISBN 13: 9780470371923
Casa editrice: Wiley-Interscience, 2009

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull'autore

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.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Wiley-Interscience
Data di pubblicazione
2009
Lingua
Inglese
ISBN 10 
0470371927
ISBN 13 
9780470371923
Rilegatura
Copertina rigida
Numero di pagine
246
Contatto del produttore
non disponibile
Persona responsabile
non disponibile