Yale Bulletin and Calendar

April 20, 2001

Volume 29, Number 27

Symposium will explore 'trends in machine learning'

Methods of drawing out useful information from the avalanche of data created by advances in networking and computing will be explored during the annual Alan J. Perlis Symposium on Thursday, April 26.

Titled "From Statistics to Chat: Trends in Machine Learning," the symposium will take place 9:45 a.m.-4:30 p.m. in the auditorium of Luce Hall, 34 Hillhouse Ave. The event is sponsored by the Department of Computer Science.

"Advances in networking and computing are threatening to drown us in data, from billions of web pages to the DNA sequence of the entire human genome," says computer science professor Dana Angluin, who will deliver the opening remarks. "This year's symposium explores ideas and methods that may help us to extract useful information from this abundance of raw data."

The symposium will include four one-hour talks, a panel discussion and a reception. The speakers and their topics are: Andrew Barron, professor and chair of the Department of Statistics at Yale, "Neural Nets, Gaussian Mixtures and Statistical Information Theory"; Claire Cardie, Cornell University, "Machine Learning for Information Extraction from Unrestricted Text"; Tom Mitchell, Carnegie Mellon University and Whizbang!, "Learning With and Without Supervision"; and Michael Kearns, AT&T Shannon Laboratory, "Artificial Intelligence in Chat and Spoken Dialogue."

The late Alan Perlis was one of the founders of the Department of Computer Science at Yale. He was known worldwide for his pioneering work in computer programming languages.

For more information about the symposium, call (203) 432-1997 or visit www.cs.yale.edu.

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