Boosting: Models, Applications and Extensions

  • ISBN 13:


  • ISBN 10:


  • Edition: 1st
  • Format: Hardcover
  • Copyright: 06/15/2017
  • Publisher: Chapman & Hall/

Note: Not guaranteed to come with supplemental materials (access cards, study guides, lab manuals, CDs, etc.)

Extend Your Rental at Any Time

Need to keep your rental past your due date? At any time before your due date you can extend or purchase your rental through your account.

Sorry, this item is currently unavailable.


Written by the developers of the first practical boosting algorithm, AdaBoost, this reference covers the background, theory, and advances in the formula. The first part of the book provides a general background of the subject. It is followed by an outline of the theory of boosting and the extensions to the AdaBoost algorithm that have been made since its inception. Chapters cover the mathematical study of machine learning, analysis of AdaBoost's training error, the generalization error, and game theory. The authors also discuss specific applications, such as bioinformatics and computer vision, and provide examples to explain topics and ensure understanding.

Write a Review