Research Groups

Alberta Ingenuity Centre for Machine Learning - An internationally recognized node of machine learning researchers at the University of Alberta

Research on Data Mining, Active Learning & Exploration, Reinforcement Learning for Decision and Control.

CCLS investigates machine learning and data mining and their application to natural language understanding, the World Wide Web, bioinformatics, systems security and other emerging areas.

Pursues research on algorithms and software tools for gleaning knowledge from data and their applications in Bioinformatics, Security Informatics, Medical Informatics, Geoinformatics, Chemical Informatics, Semantic Web, e-Government, e-Enterprises, e-Commerce, and e-Science.

Royal Holloway, University of London - Research on machine learning theory, kernel methods for text analysis, support vector machines, kernel theory.

University College London - Research on neural computational theories of perception and action, with an emphasis on learning.

GMU - Research on Theories of Learning, Inference, and Discovery Data Mining and Knowledge Discovery, User Modeling and Intrusion Detection, Non-Darwinian Evolutionary Computation, Machine Vision through Learning, Education.

ESPRIT working group on Neural and Computational Learning Theory. Partners, projects, publications archive.

University of Toronto - Research on computational machine learning tools and theoretical frameworks with applications in computational molecular biology, computer vision, sensory processing, and iterative decoding.