Kernel methods for pattern analysis / John Shawe-Taylor, Nello Cristianini.

Kernel methods for pattern analysis /

Show other versions (1)

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 i...

Full description

Saved in:
Bibliographic Details
Main Author: Shawe-Taylor, John
Other Authors: Cristianini, Nello
Format: Electronic eBook
Language:English
Published: Cambridge, UK ; New York : Cambridge University Press, 2004.
Subjects:
Machine learning.
Algorithms.
Kernel functions.
Pattern perception > Data processing.
Computer algorithms.
Algorithms
Machine Learning
algorithms.
Online Access: Full text (Wentworth users only)
Local Note:ProQuest Ebook Central

Internet

Full text (Wentworth users only)

Similar Items