Cours filmés, Recorded courses

http://videolectures.net/Top/Computer_Science/Machine_Learning/

Les bases, Basics

• Linear Algebra Review and Reference by Andrew Ng.
• Maxent Tutorial by Adam Berger

Lectures, Readings

SVM	Tutorial	Chris Burges, KDD 98.
Decision Trees	Article	J.R. Quinlan, MLJ 86.
	Slides	F. Fleuret, May 07
Boosting	Article	Robert Schapire], IJCAI 99
Feature Selection	Article	Isabelle Guyon and Andre Elisseeff, JMLR 03.
Expectation Maximization	Tutorial	Sean Borman
Reinforcement Learning	http://www.nbu.bg/cogs/events/2000/Readings/Petrov/rltutorial.pdf	M. Harmon and S. Harmon

Courses notes

• Max Welling

Others

• Reductions Between Classification Tasks by Alina Beygelzimer, Varsha Dani, Tom Hayes, John Langford and Bianca Zadronzny, ICML 2005.
• Advances in Gaussian Processes by Carl Edward Rasmussen, NIPS 2006
• Using EM To Estimate A Probablity Density With A Mixture Of Gaussians by Aaron D'Souza