Jude W. Shavlik
Professor
Computer Sciences Department
University of Wisconsin
1210 W. Dayton St.
Madison, WI 53706-1685
telephone: (608) 262-1204
fax: (608) 262-9777
email:
shavlik@cs.wisc.edu
http://www.cs.wisc.edu/~shavlik/
Ph.D., University of Illinois, Urbana, 1988
Interests:
Machine learning, neural networks, artificial intelligence, software
agents, information retrieval, computational biology, intrusion
detection, intelligent user interfaces
Research Summary
We are primarily developing machine learning systems that combine
the strengths of symbolic approaches to artificial intelligence
with those of connectionist AI. A major focus is improving the
dialog between human teachers and machine learners. Traditionally,
this interaction is limited to the teacher providing labelled
training examples to the machine. Toward the goal of widening
the `communication pipeline' between human and machine, we have
been developing a language for providing, in a natural manner
and at any time, general-purpose advice to a machine learner.
In our approach, the human advice-giver observes the behavior
of the learner and occasionally makes suggestions, expressed in
a simple language. Based on techniques developed in our work on
knowledge-based neural networks, these instructions are inserted
directly into the learner. Subsequent connectionist (neural network)
learning further integrates and refines the advice.
Currently, we are extending the language used to advise our learning
algorithms, studying new ways of incorporating this advice into
neural networks, devising heuristics for indirectly inferring
users' interests by observing their normal interactions with their
Web browsers, and developing methods for choosing good representations
for training examples. Our application areas include finding information
on the World-Wide Web, in our Wisconsin Adaptive Web Assistant
project, interpreting DNA-sequencing data, and intrusion detection.
Sample Recent Publications
An instructable, adaptive interface for discovering and monitoring
information on the World-Wide Web (with S. Calcari, T. Eliassi-Rad,
and J. Solock), Proceedings of the of the International Conference
on Intelligent User Interfaces, 1999.
Using neural networks for data mining (with M. Craven), Future
Generation Computer Systems, 1997.
Increasing consensus accuracy in DNA fragment assemblies by incorporating
fluorescent trace representations (with C. Allex, S. Baldwin,
and F. Blattner), Proceedings of the Fifth International Conference
on Intelligent Systems for Molecular Biology, 1997.
This page was automatically created December 30, 1998.
Email pubs@cs.wisc.edu
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