Resources pertaining Machine Learning from our Artificial Intelligence category

AI-CBR - Featured papers

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

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

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

Group Method of Data Handling (GMDH) - Review of the GMDH approach for data mining and forecasting

ILPnet2 - Network of Excellence in Inductive Logic Programming.

Integrated Optimization - Artificial Intelligence - Site dedicated to research of artificial intelligence algorithms applied to information retrieval

Kernel machines - A central information source for the area of Support Vector Machines

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

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

Mixture Modelling page - Mixture modelling

Pattern Recognition Information - A hub for Pattern Recognition linking to journals

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

Reasoning about Computational Resource Allocation - An introduction to "anytime" algorithms. Published in Crossroads

Reinforcement Learning Repository - A centralized resource for researchers of reinforcement learning. Maintained at Michigan State University.