| 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. |
| 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. |
| Machine Learning at AAAI | | Starting point for online machine learning resources. Provided by the American Association for Artificial Intelligence. |
| Machine Learning in Games | | 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. |
| Machine Learning Network Online Information Service | | 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. |
| Mixture Modelling page | | Mixture modelling, Clustering, Intrinsic classification, Unsupervised learning and Mixture modeling. Links and bibliography. |
| Programming by Example | | Programming by example (or by demonstration) is a technique for teaching the computer new behavior by demonstrating actions on concrete examples. The system records user actions and generalizes a program that can be used in new examples. |
| Proto-Mind Machines | | Artificial Neural Network-based natural language conversational agent and intelligent dialogue generator |
|
|
