| Andrew Schein's Web Page
Machine learning approaches to data mining focussing on text mining applications |
| Boosting research
A website on Boosting and related ensemble learning methods. Provided links to papers, upcoming events, datasets, and code. |
| Computational Learning Theory
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. |
| David W. Aha: Machine Learning Page
Comprehensive machine learning resources from Applications to Tutorials. |
| Gowachin
A competition on Grammatical Inference. |
| Grammatical Inference
Repository of information on grammatical inference, automata induction, and language acquisition. |
| ILPnet2
Network of Excellence in Inductive Logic Programming. |
| Integrated Optimization - Artificial Intelligence
Site dedicated to research of artificial intelligence algorithms applied to information retrieval, data mining and optimization methods. Includes FAQs and AI resources for math/science teachers and students. |
| k-means clustering tutorial
Introduction to k-means clustering, a popular data mining and unsupervised learning algorithm. Free code, software, resources and examples are available for download. |
| Kernel machines
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. |