Yoav Freund

Apparatus and methods for machine learning hypotheses

Boosting in Continuous Time

Optimally Efficient Boosting

Using Confidence-Rated Weak Predictions

Attaining the Best Possible Accuracy

Subject and Author Index

Appendix: Some Notation, Definitions, and Mathematical Background

Index of Algorithms, Figures, and Tables

Game Theory, Online Learning, and Boosting

A Discussion of: "Process Consistency for AdaBoost" by Wenxin Jiang "On the Bayes-risk consistency of regularized boosting methods" by G´ abor Lugosi and Nicolas Vayatis "Statistical Behavior and Consistency of Classification Methods based on Convex Risk Minimization" by Tong Zhang