A website on Boosting and related ensemble learning methods. Provided links to papers, upcoming events, datasets, and code.
The MLnet OiS offers software, datasets, information about events, research groups, persons and other interesting stuff related to machine learning, knowledge discovery, case-based reasoning, knowledge acquisition, and data mining.
Starting point for online machine learning resources. Provided by the American Association for Artificial Intelligence.
A central information source for the area of Support Vector Machines, Gaussian Process prediction, Mathematical Programming with Kernels, Regularization Networks, Reproducing Kernel Hilbert Spaces, and related methods. Provides links to papers, upcoming events, datasets, code.
A research field devoted to studying the design and analysis of algorithms for making predictions about the future based on past experiences. The emphasis in COLT is on rigorous mathematical analysis. COLT is largely concerned with computational and data efficiency.
Mixture modelling, Clustering, Intrinsic classification, Unsupervised learning and Mixture modeling. Links and bibliography.
A competition on Grammatical Inference.
An introduction to "anytime" algorithms. Published in Crossroads, the student magazine of the ACM.
How computers can learn to get better at playing games. This site is for artificial intelligence researchers and intrepid game programmers. I describe game programs and their workings; they rely on heuristic search algorithms, neural networks, genetic algorithms, temporal differences, and other methods.
Network of Excellence in Inductive Logic Programming.