Boosting: Foundations and Algorithms

by Yoav Freund and Robert E. Schapire

Book Overview

An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones.

Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate "rules of thumb." A remarkably rich theory has evolved around boosting, with connections to a range of topics, including...

• Format: Paperback
• Language: English
• ISBN: 0262526034
• ISBN13: 9780262526036
• Release Date: January 2014
• Publisher: MIT Press
• Length: 544 Pages
• Weight: 1.90 lbs.
• Dimensions: 0.9" x 7.2" x 8.9"
• Age Range: 18 years and up
• Grade Range: Postsecondary and higher