AI Home
AI Seminar
AI Qualifying Exam
AI Reading Group
AI Conferences
Mailing Lists

Return to
Research Areas

 

 

Artificial Intelligence Research and Education

Welcome!

This is the World Wide Web home page for the AI Group at the University of Wisconsin - Madison Computer Sciences Department.

We are studying computer vision, machine learning, and biomedical informatics. Themes in computer vision include active approaches for medical image analysis, face recognition, and image-based modeling and rendering. Machine learning research focuses on both logical and statistical approaches. Current themes include design and analysis of novel algorithms for knowledge transfer in reinforcement learning, active learning for sequence models, combining logical and probabilistic representations of knowledge and multiple-instance learning. These algorithms are being applied to problems in bioinformatics, information retrieval and extraction, and the design of adaptive agents.

Additional information about current research projects can be found on the web pages of individual faculty members, listed below.

Research Groups

Area
Faculty Member
Group Page
Publications
Computer Vision
Chuck Dyer, Li Zhang, Vikas Singh Computer Vision Group Computer Vision publications
Machine Learning and Data Mining
Mark Craven    
Olvi Mangasarian Optimization Group Optimization publications
David Page    
Jude Shavlik Machine Learning Research Group MLRG publications
Grace Wahba   Wahba publications
Jerry Zhu    
Biological AI
Michael Coen Biologically-Inspired Computation Group  

AI Courses

The following AI courses are regularly offered:

AI Events

This page was created by Andrew Palmer. Last updated by Michael Coen on 12/9/2008.