David W. Aha: Machine Learning Page
Comprehensive machine learning resources from Applications to Tutorials.
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.
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.
Gowachin
A competition on Grammatical Inference.
Grammatical Inference
Repository of information on grammatical inference, automata induction, and language acquisition.
Group Method of Data Handling (GMDH)
Review of the GMDH approach for data mining and forecasting, with examples and software
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.
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.
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.
Machine Learning at AAAI
Starting point for online machine learning resources. Provided by the American Association for Artificial Intelligence.
Machine learning for user modeling
Resources for researchers and practitioners interested in the use of learning techniques in intelligent, user-adaptive systems.
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.
Mixture Modelling page
Mixture modelling, Clustering, Intrinsic classification, Unsupervised learning and Mixture modeling. Links and bibliography.
Pattern Recognition Information
A hub for Pattern Recognition linking to journals, books, bibliographies, jobs, conferences and news.
Pattern Recognition on The Web
Links to various pattern recognition and machine learning resources
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
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