Research_Groups

An internationally recognized node of machine learning researchers at the University of Alberta

Research on information retrieval and extraction, bioinformatics, connectionist models, hybrid systems.

Research in Data mining, Inductive Logic Programming, Learning In Agents.

Research on Support Vector Machines, Hidden Markov Models, fusion of generative and discriminative approaches, logical data analysis, large scale data analysis. Martigny, Switzerland.

Research on machine learning theory, kernel methods for text analysis, support vector machines, kernel theory.

Research on Machine Learning in Robotics, Factory Automation, and Assistance Systems.

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.

a group of researchers interested in artificial intelligence, computer supported collaborative learning and grid computing

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

Promotes curiosity-driven Machine Learning research, and leading edge scientific and commercial applications in the bioinformatics and interactive entertainment industries.