Boosting and Predictive modeling
(PowerPoint presentation, 4.7MB)
A black-box approach to machine learning
(PowerPoint presentation, 1MB)
How to be a Bayesian without believing
(PowerPoint presentation, 908KB)
A talk about the paper Generalization
bounds for averaged classifiers
Presented in Eurandom, Eindhoven, the Netherlands, January 2003.
Slide no. 33 in this presentation is a link to the following
mpeg movie (13.2MB)
created by Paul Viola and Mike Jones which demonstrates their amazing face detection software.
An Introduction to boosting
(PowerPoint presentation, 688KB)
An introductory talk about boosting, margins, and alternating trees.
Games of Prediction (PowerPoint
A talk which shows how algorithms for boosting, online learning, and Ulam's
game with lies
can all be seen as special cases of interactive games Schapire named "drifting
Why does averaging work? (PowerPoint
A talk given in the conference Interface 2001.
Introduces some of the new ideas which machine learning brings to statistical
inference, especially regarding
classification methods that use averaging.
Computational and statistical issues in data-mining
(PowerPoint presentation, 1175KB)
A talk to be presented in SAS M2002 conference on data-mining.