Boosting foundations and algorithms

• Main Author: Schapire, Robert E.
• Other Authors: Freund, Yoav
• Format: eBook
• Language: English
• Published: Cambridge, MA : MIT Press, c2012.
• Series: Adaptive computation and machine learning.
• Subjects: Boosting (Algorithms); Supervised learning (Machine learning); elektronické knihy; electronic books
• ISBN: 9780262301183
• Physical Description: 1 online zdroj (xv, 526 p.) : ill.

Table of Contents:

• Foundations of machine learning
• Using AdaBoost to minimize training error
• Direct bounds on the generalization error
• The margins explanation for boosting's effectiveness
• Game theory, online learning, and boosting
• Loss minimization and generalizations of boosting
• Boosting, convex optimization, and information geometry
• Using confidence-rated weak predictions
• Multiclass classification problems
• Learning to rank
• Attaining the best possible accuracy
• Optimally efficient boosting
• Boosting in continuous time.