The Boosting Approach to Machine Learning: An Overview

This publication has 44 references indexed in Scilit:

• Empirical Margin Distributions and Bounding the Generalization Error of Combined Classifiers
  The Annals of Statistics, 2002
• Greedy function approximation: A gradient boosting machine.
  The Annals of Statistics, 2001
• Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)
  The Annals of Statistics, 2000
• Boosting the margin: a new explanation for the effectiveness of voting methods
  The Annals of Statistics, 1998
• Arcing classifier (with discussion and a rejoinder by the author)
  The Annals of Statistics, 1998
• A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
  Journal of Computer and System Sciences, 1997
• Cryptographic limitations on learning Boolean formulae and finite automata
  Journal of the ACM, 1994
• What Size Net Gives Valid Generalization?
  Neural Computation, 1989
• A theory of the learnable
  Communications of the ACM, 1984
• Generalized Iterative Scaling for Log-Linear Models
  The Annals of Mathematical Statistics, 1972