University of Wisconsin-Madison Artificial Intelligence Seminars

The University of Wisconsin-Madison Department of Computer Sciences holds regularly scheduled seminar talks in diverse areas of artificial intelligence at 2:30 pm on Fridays, room 2310 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 one of the following if you would like to give a talk: 
  Mark Craven             Kevin Cherkauer
  craven@cs.wisc.edu      cherkaue@cs.wisc.edu
  (608) 263-0475          (608) 262-6613
Upcoming talks will also be announced via the aisem electronic mailing list. Information about subscribing to this list is on-line.

Spring 1995 Schedule of AI Seminars 

Date	Presenter	    Title
------  ------------------  ---------------------------------------------------

Feb  1  John Holland        Complex Adaptive Systems  (Abstract) 
12:05   Univ. of Michigan

        NOTE SPECIAL DAY, TIME, AND PLACE: WED. 12:05 PM IN 1610 ENGINEERING,
        JOINTLY WITH THE CHAOS AND COMPLEX SYSTEMS SEMINAR


Mar 10  Rich Maclin         Incorporating Advice into Agents that
2:30	                    Learn from Reinforcements  (Abstract) 


Mar 22	Steven Holland      Robotics in the Auto Industry:
12:00	General Motors      Yesterday, Today & Tomorrow  (Abstract) 

        NOTE SPECIAL DAY, TIME, AND PLACE: WED. 12:00 PM IN 
	159 MECHANICAL ENGINEERING.


Mar 23	Sebastian Thrun     Learning Inductively and Analytically  (Abstract) 
4:00	Univ. of Bonn and CMU

	NOTE SPECIAL DAY, TIME AND PLACE: THURSDAY, 4:00 PM IN ROOM 1325.


Mar 24	Brent Seales        Calibrated Zoom for Stereo Vision  (Abstract) 
2:30	Univ. of Kentucky


Mar 31	Mark Smucker        Population Structures and Genetic Algorithms
2:30	                     (Abstract) 


Apr 17	Nicola Ferrier      Optical Sensing for Fluid-Filled Robot Fingertips
3:30	Harvard University   (Abstract) 

	NOTE SPECIAL DAY, TIME, AND PLACE: MON. 3:30 PM IN 
	ENGINEERING RESEARCH BLDG 1307


Apr 25	Mark Craven         Extracting Comprehensible Symbolic Representations
12:05	                    from Trained Neural Networks  (Abstract) 

        NOTE SPECIAL DAY, TIME, AND PLACE: WED. 12:05 PM IN 8417 SOCIAL SCIENCE
        JOINTLY WITH THE CHAOS AND COMPLEX SYSTEMS SEMINAR

	
Apr 28	Richard Belew       Machine Learning Questions in Information Retrieval
2:30	UC-San Diego         (Abstract) 


May 5	Wei-Yin Loh         Split Selection Methods for Classification Trees
2:30	Statistics Dept.     (Abstract) 


May 9	Andreas Weigend     Nonlinear Mixture Models for Time Series Analysis: 
12:05	Univ. of Colorado   Discovering Regimes and Avoiding Overfitting
			     (Abstract)  

        NOTE SPECIAL DAY, TIME, AND PLACE: WED. 12:05 PM IN 8417 SOCIAL SCIENCE
        JOINTLY WITH THE CHAOS AND COMPLEX SYSTEMS SEMINAR

	
May 12	Steve Seitz         Recovering Complete Scene Structure from a
2:30	                    Sequence of Images  (Abstract)


Related Pages