Advances in networking and computing threaten to drown us in data, from billions of web pages to the billions of nucleotides in the human genome. This year the symposium explores ideas and methods that may help us to extract useful information from this abundance of raw data.

Morning Session (9:45-12:00)

    9:45	Opening Remarks	
		Dana Angluin
		Professor of Computer Science 

   
   10:00	Andrew Barron
		Yale University
		
		Title:  Neural Nets, Gaussian Mixtures, and
		        Statistical Information Theory
		
		Abstract and Bio



   11:00	Claire Cardie
		Cornell University
		
		Title:  Machine Learning for Information
			Extraction from Unrestricted Text
		
		Abstract and Bio



   12:00	Lunch - Luce Hall Common Room



Afternoon Session (1:30 - 4:30)


    1:30	Tom Mitchell
		Carnegie Mellon University and Whizbang
		
		Title:  Learning With and Without Supervision
		
		Abstract and Bio


    2:30	Michael Kearns
		AT&T Shannon Laboratory
		
		Title:  Artificial Intelligence in Chat and Spoken Dialogue Systems
		
		Abstract and Bio


    3:30	Panel Discussion
		Dana Angluin - Moderator


    4:30	Following the panel discussion a public reception will be held
		in the Luce Hall Common Room

		Luce Hall Auditorium
		Room 101
		34 Hillhouse Avenue
		New Haven, Connecticut



Travel Directions and Lodging Information

For more information please call 203.432.1997


ALL TALKS ARE FREE AND OPEN TO THE PUBLIC