Machine Learning Research Group University of Texas at Austin Department of Computer Sciences , Artifical Intelligence Laboratory
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Machine learning is the study of adaptive computational systems that improve their performance with experience. The UT Machine Learning Research Group focuses on applying both empirical and knowledge-based learning techniques to natural language processing, text mining, bioinformatics, recommender systems, inductive logic programming, knowledge and theory refinement, planning, and intelligent tutoring.

For pictures of the group click here.

Faculty

• Raymond J. Mooney --- (mooney@cs.utexas.edu)

Graduate Students

• Sugato Basu --- (sugato@cs.utexas.edu)
• Misha Bilenko --- (mbilenko@cs.utexas.edu)
• Razvan Bunescu --- (razvan@cs.utexas.edu)
• Ruifang Ge --- (grf@cs.utexas.edu)
• Rohit Kate --- (rjkate@cs.utexas.edu)
• Prem Melville --- (melville@cs.utexas.edu)
• Lilyana Mihalkova --- (lilyanam@cs.utexas.edu)
• Yuk Wah (John) Wong --- (ywwong@cs.utexas.edu)
• Meng (Stewart) Yang --- (windtown@cs.utexas.edu)