Kernel Methods for Pattern Analysis - Rilegato

Shawe-Taylor, John; Cristianini, Nello

Rilegato

ISBN 10: 0521813972 ISBN 13: 9780521813976

Casa editrice: Cambridge University Press, 2004

Riassunto

A unique account of developing topic in data mining and machine learning.

Su questo libro

Recensione

'Kernel methods form an important aspect of modern pattern analysis, and this book gives a lively and timely account of such methods. ... if you want to get a good idea of the current research in this field, this book cannot be ignored.' SIAM Review

'... the book provides an excellent overview of this growing field. I highly recommend it to those who are interested in pattern analysis and machine learning, and especailly to those who want to apply kernel-based methods to text analysis and bioinformatics problems.' Computing Reviews

' ... I enjoyed reading this book and am happy about is addition to my library as it is a valuable practitioner's reference. I especially liked the presentation of kernel-based pattern analysis algorithms in terse mathematical steps clearly identifying input data, output data, and steps of the process. The accompanying Matlab code or pseudocode is al extremely useful.' IAPR Newsletter

Descrizione del libro

The kernel functions methodology described here provides a powerful and unified framework for disciplines ranging from neural networks and pattern recognition to machine learning and data mining. This book provides practitioners with a large toolkit of algorithms, kernels and solutions ready to be implemented, suitable for standard pattern discovery problems.

Dettagli dell'edizione

• Editore: Cambridge University Press
• Data di pubblicazione: 2004
• Lingua: Inglese
• ISBN 10: 0521813972
• ISBN 13: 9780521813976
• Rilegatura: Copertina rigida
• Numero di pagine: 478
• Contatto del produttore: Cambridge University Press; https://www.cambridge.org/; ; Via Honduras,15; Pomezia; Italia; 71; Italia