Learning Kernel Classifiers: Theory and Algorithms

by Ralf Herbrich

Book Overview

An overview of the theory and application of kernel classification methods. Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier-a limited, but well-established and comprehensively studied model-and extends its applicability to a wide range of nonlinear pattern-recognition tasks such as natural language processing, machine vision, and biological sequence...

• Format: Paperback
• Language: English
• ISBN: 0262546590
• ISBN13: 9780262546591
• Release Date: November 2022
• Publisher: MIT Press
• Length: 384 Pages
• Weight: 1.34 lbs.
• Dimensions: 0.8" x 7.0" x 9.0"
• Age Range: 18 years and up
• Grade Range: Postsecondary and higher