Large-Scale Kernel Machines

by Olivier Chapelle and Dennis DeCoste

Solutions for learning from large scale datasets, including kernel learning algorithms that scale linearly with the volume of the data and experiments carried out on realistically large datasets.

Pervasive and networked computers have dramatically reduced the cost of collecting and distributing large datasets. In this context, machine learning algorithms that scale poorly could simply become irrelevant. We need learning algorithms...

• Format: Hardcover
• Language: English
• ISBN: 0262026252
• ISBN13: 9780262026253
• Release Date: August 2007
• Publisher: MIT Press
• Length: 396 Pages
• Weight: 2.17 lbs.
• Dimensions: 1.1" x 8.4" x 10.0"
• Age Range: 18 years and up
• Grade Range: Postsecondary and higher