Seminar on Computational Learning and
Adaptation
Revising Engineering Models: Combining Computational Discovery with Knowledge
Stephen Bay
Institute for the Study of Learning and Expertise, and
Computational Learning Laboratory, CSLI
sbay@apres.stanford.edu
http://newatlantis.isle.org/~sbay
Developing mathematical models that represent physical devices is a difficult
and time consuming task. In this talk, I present a hybrid approach to modeling
that combines machine learning methods with knowledge from a human domain
expert. Specifically, I propose a system for automatically revising an initial
model provided by an expert with an equation discovery program that is tightly
constrained by domain knowledge. I apply this system to learning an improved
model of a battery on the International Space Station from telemetry data. The
results suggest that this hybrid approach can reduce model development time
and improve model quality.
This talk describes joint work with Dan Shapiro and Pat Langley.
Date: Thursday, May 23
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Time: 4:15-5:30PM
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Place: Cordura 100
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