Learning Seminar

Seminar on Computational Learning and Adaptation

The Problem

Over the past decade, research on computational approaches to learning and adaptation has emerged as a central topic in many disciplines, including artificial intelligence, molecular biology, cognitive psychology, complexity theory, decision theory, pattern recognition, and statistics. Unfortunately, researchers in these paradigms do not communicate as often as they might, leading to duplicated effort and missed insights that can come from interdisciplinary exchange.

The Response

The Seminar on Computational Learning and Adaptation is designed to improve communication among the local researchers with interests in computational approaches to learning and adaption, broadly defined. Talks cover a variety of methods - case-based learning, decision-tree induction, genetic algorithms, neural networks, and probabilistic algorithms - and take different approaches to evaluation - applied, experimental, theoretical, and psychological. Open discussion aims to establish a common language and increase the chances of future collaborations.

Logistics

During the Spring 2001 quarter, the seminar will usually meet in Cordura 100 on thursdays from 4:15PM to 5:30PM. Cordura Hall is one of CSLI's (Center for the Study of Language and Information) buildings on the corner of Campus Drive and Panama Street (map). To reach Cordura 100, enter through the building's main doors, which are opposite Campus Drive and adjacent to Ventura Hall. Turn right into a short hall that ends in the meeting room.

Schedule for Spring Quarter 2001

Date	Topic	Speaker
April 12, 2001	Epsilon Machines: Measuring Information Processing in Natural Systems	Karl Young
April 12, 2001		Stanford Linear Accelerator, Stanford University
April 26, 2001	Modifications of Kleinberg's HITS Algorithm using Matrix Exponentiation and Web Log Records	Ayman Farahat et al.
April 26, 2001		Angara, Mountain View CA
May 3, 2001	Decision Tree Grafting	Geoff Webb
May 3, 2001	Decision Tree Grafting	School of Computing and Mathematics, Deakin University, Geelong, Australia
May 10, 2001	Knowledge and Data in Computational Biological Discovery	Pat Langley
May 10, 2001	Knowledge and Data in Computational Biological Discovery	Institute for the Study of Learning and Expertise , and Computational Learning Laboratory, CSLI
May 17, 2001	Learning Context-Free Grammars by Minimizing Description Length	Sean Stromsten
May 17, 2001		Department of Psychology, Stanford University, CA
June 7, 2001	Control Learning and Fast Emulation of Dynamical Systems using Neural Networks	Radek Grzeszczuk
June 7, 2001		Intel Corporation, Santa Clara, CA
June 14, 2001	Toward a Computational Theory of Data Acquisition	David Stork
June 14, 2001	Toward a Computational Theory of Data Acquisition	Ricoh California Research Center, Menlo Park, CA

Please pass on this information to other local researchers who might be interested in participating. If you would like to be added to the seminar mailing list, or if you are interested in giving a talk in the seminar, send email to schroedl@rtna.daimlerchrysler.com.

Past Schedules

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