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 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.
During the Fall quarter of 2001-2002, 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.
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 dgs@stanford.edu.
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