Kernel Methods for Pattern Analysis

by John Shawe-Taylor and Nello Cristianini

Book Overview

Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vectors or text) and look for general types of relations (e.g. rankings, classifications, regressions, clusters). The application areas range from neural networks and pattern recognition to machine learning and data mining. This book, developed from lectures and tutorials, fulfils two major roles:...

• Format: Hardcover
• Language: English
• ISBN: 0521813972
• ISBN13: 9780521813976
• Release Date: June 2004
• Publisher: Cambridge University Press
• Length: 478 Pages
• Weight: 2.45 lbs.
• Dimensions: 1.2" x 6.7" x 9.8"