CLNL workshop

[Stephen Judd]

		        LAST CALL FOR PAPERS
		       Third Annual Workshop on
     Computational Learning Theory and `Natural' Learning Systems
		   August 27-29, Madison, Wisconsin

Siemens Corporate Research, MIT, and the University of Wisconsin-
Madison are sponsoring the third annual CLNL workshop to explore the
intersection of theoretical learning research and natural learning
systems.  (Natural systems include those that have been successful
in a difficult engineering domain or those that represent natural
constraints arising from biological or psychological processes or
mechanisms.) The workshop will bring together a diverse set of
researchers from three relatively independent learning research areas:
Computational Learning Theory, AI/Machine Learning, and Connectionist
Learning. Invited speakers and participants will be encouraged to
examine general issues in learning systems which could provide
constraints for theory, while at the same time theoretical results will
be interpreted in the context of experiments with actual learning
systems.

Examples of experimental approaches include: Models or comparisons of
learning systems in classification problems (vision, speech, etc.);
Controls and Robotics, Natural language processing; Studies of
generalization; Representation effects on learning rate, noise
tolerance and concept or function complexity; Biological or
biologically inspired models of adaptation; Competitive processing or
synaptic growth and modification.

Relevant theoretical subjects include: The computational and sample
complexity of learning; Learning in the presence of noise; The effect
on learnability of prior knowledge, representational bias, or feature
construction; Learning protocol: learning sample distributions;
Efficient algorithms for learning particular classes of concepts or
functions; Comparison of analytical bounds with real-world
experiments.

Submission Procedure: Please submit 3 copies of a 100 word or less
abstract and a 2000 word or less summary of original research
indicating your preference for either experimental or theoretical
category. The DEADLINE for submission is JUNE 30, 1992. 
Send abstracts and summaries to:

			    CLNL Workshop
		      Siemens Corporate Research
			755 College Road East
			 Princeton, NJ  08540

(Or via email to clnl at learning.siemens.com)
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ORGANIZING COMMITTEE
Andrew Barto, U Massachusetts
Andrew Barron, U Illinois
Stephen J. Hanson, Siemens Corp. Research
Michael Jordan, MIT
Stephen Judd, Siemens Corp. Research
Kumpati S. Narendra, Yale University
Tomaso Poggio, MIT
Larry Rendell, Beckman Institute
Ronald L. Rivest, MIT
Jude Shavlik, U Wisconsin 
Paul Utgoff, U Massachusetts

WORKSHOP CO-CHAIRS
Thomas Petsche, Siemens Corp. Research
Jude Shavlik, U Wisconsin
Stephen Judd, Siemens Research

WORKSHOP SPONSORS
Siemens Corporate Research, Inc.
MIT Laboratory for Computer Science
University of Wisconsin, Dept. of Computer Science