b AI Seminar Schedule - Artificial Intelligence Research and Education
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Artificial Intelligence Research and Education

AI Seminar Schedule, Spring 2002

The University of Wisconsin-Madison Department of Computer Sciences holds regularly scheduled seminar talks in diverse areas of artificial intelligence at 4:00pm on Thursdays, room 1325 of the Computer Sciences and Statistics Building, 1210 W. Dayton St. Talks may also be scheduled at other times to accommodate visiting speakers. Please contact the following person if you would like to give a talk: 
  Michael Molla
  263-7622

Upcoming talks will also be announced via the aisem electronic mailing list. Information about subscribing to this list is on-line.

Date Speaker Affiliation Title Abstracts
February 7 George Phillips UW. Madison Department of Biochemistry and Department of Computer Science Computation in the Imaging of Large Molecules abstract
February 14 Marios Skounakis UW. Madison Department of Computer Science Multiple-Resolution Hidden Markov Models abstract
February 21 David Page UW. Madison Department of Biostatistics and Medical Informatics, Department of Computer Science, and Comprehensive Cancer Center Supervised Learning for Gene Expression Microarray Data: Comparative Experiments with Multiple Myeloma abstract
9:30AM
Friday
March 1
in CS 2310		 Michael Molla UW. Madison Department of Computer Science Interpreting Microarray Expression Data Using Text Annotating the Genes abstract
March 14
in CS 2310		 Regina Barzilay Columbia University Information Fusion for Multidocument Summarization abstract
9:30AM
Wednesday
March 20
in CS 2310		 Raymond Mooney UT. Austin Text Mining Extracted Information abstract
Wednesday March 20
4:00PM
in CS 1325		 Olga Veksler NEC Research Institute Graph Algorithms for Stereo Correspondence abstract
April 11 Mina C. Johnson-Glenberg Waisman Center, University of Wisconsin-Madison Neural Network Model of Working Memory in Those with Fragile X Syndrome abstract
April 18 Vitor Santos Costa COPPE/Sistemas, Universidade Federal do Rio de Janeiro CLP(BN): Constraint Logic Programming for Probabilistic Knowledge abstract
Friday April 19
9:30AM
in CS 2310		 Ellen Riloff University of Utah Learning Multiple Semantic Categories Simultaneously using Collective Evidence over Extraction Patterns abstract
May 9 Inês Dutra COPPE/Sistemas, Universidade Federal do Rio de Janeiro An Empirical Evaluation of Bagging in Inductive Logic Programming abstract
May 30 Joseph Bockhorst UW. Madison Department of Computer Science Supervised Learning Methods for Prediction of Regulatory Elements abstract

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