A standard environment for evaluating the performance of learning methods. Includes a number of datasets and an archive of learning methods.

Neural network simulator based on C and Tcl. Made up of C libraries to build networks, and pre-built simulators.

Unsupervised learning with rich sensory input. Most noted for being a co-inventor of back-propagation.

Speech processing, auditory scene analysis, machine learning.

Decision making and planning under uncertainty, reinforcement learning, game theory and economic models.

Bayesian inference, Markov chain Monte Carlo methods, evaluation of learning methods, data compression.

Hand-written character recognition.

A website keeping track of developments in Gaussian processes. Has links to online papers and their authors and software.

The Sixteenth Conference on Uncertainty in Artificial Intelligence. Stanford University, June 30 - July 3, 2000.

Journal Club of the Toronto Computer Science Machine Learning group.