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Jude W. Shavlik's Home Page; Jude W. Shavlik;Associate Professor;Computer Sciences Department;University of Wisconsin;1210 W. Dayton St.;Madison, WI 53706-1685;E-mail: shavlik@cs.wisc.edu;Telephone: (608) 262-7784;Fax: (608) 262-9777;Ph.D., University of Illinois, Urbana, 1988;Interests: machine learning, neural networks, artificial intelligence,;informational retrieval, computational biology; Table of Contents;; Research Summary;; PhD Students;; Selected Recent Publications;; Courses Taught;; Some Interesting Links; 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 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,;investigating the extraction of human-comprehensible rules from trained neural networks,;and developing methods for choosing good representations for training examples.;We are also developing parallel algorithms,;on the department's Condor system and our CM-5 computer,;for machine learning and computational biology.;Shavlik (1992);and (1996);provide an overview of our approach to knowledge-based neural networks.;Recent developments appear in the papers referenced on this page, as well;as in the "home pages" of the students listed below.; PhD Students;; Carolyn Allex;; Kevin Cherkauer;; Mark Craven (graduated September 1996);; Tina Eliassi-Rad; Eric Gutstein (graduated June 1993);; Richard Maclin (graduated August 1995);; David Opitz (graduated August 1995);; Geoffrey Towell (graduated October 1991);; Selected Recent Publications;Click;here to see our recent titles and abstracts;(you can also grab all our abstracts in one;file;or directly access;our ftp directory of postscript versions of recent papers.; Maclin, R. & Shavlik, J. W. (1996).;; Creating advice-taking reinforcement learners.;Machine Learning, 22:1-3, 251-281.; Craven, M. W. & Shavlik, J. W. (1996).;; Extracting tree-structured representations of trained networks.;Proceedings of the Conference on Neural Information Processing Systems (NIPS8).; Opitz, D. W. & Shavlik, J. W. (1996).;; Generating accurate and diverse members of a neural-network ensemble.;Proceedings of the Conference on Neural Information Processing Systems (NIPS8).; Cherkauer, K. J. & Shavlik, J. W. (1996).;; Rapid quality estimation of neural network input representations.;Proceedings of the Conference on Neural Information Processing Systems (NIPS8).; Opitz, D. W. & Shavlik, J. W. (1995).;; Dynamically adding symbolically meaningful nodes to knowledge-based neural networks.;Knowledge-Based Systems, 8:6, 301-311.; Towell, G. G. & Shavlik, J. W. (1994).;; Knowledge-based artificial neural networks.;Artificial Intelligence, 70:1-2, 119-165.; Shavlik, J. W. (1994).;; Combining symbolic and neural learning.;Machine Learning, 14:3, 321-331.; Towell, G. G. & Shavlik, J. W. (1993).;; The extraction of refined rules from knowledge-based neural networks.;Machine Learning, 13:1, 71-101.; Maclin, R. & Shavlik, J. W. (1993).;; Using knowledge-based neural networks to improve algorithms:; Refining the Chou-Fasman algorithm for protein folding.;Machine Learning, 11:2/3, 195-215.; Scott. G. M., Shavlik, J. W., & Ray, H. (1992).; Refining PID controllers using neural networks.; Neural Computation, 4:5, 736-747.; (A; NIPS4 version is on line.); Shavlik, J. W., Towell, G. G., & Noordewier, M. O. (1992).; Using neural networks to refine biological knowledge.; International Journal of Genome Research, 1:1, 81-107.; Shavlik, J. W., Mooney, R. J., & Towell, G. G. (1991).; An experimental comparison of symbolic and connectionist learning algorithms.; Machine Learning, 6:2, 111-143.; (A; version is on-line, but several figures are missing.); Shavlik, J. W. & Dietterich, T. D., eds., (1990).; Readings in Machine Learning, Morgan Kaufmann, San Mateo, CA.; Courses Recently Taught;; CS 540 - Introduction to Artificial Intelligence (Fall 1995);; CS 838 - Machine Learning and Information Retrieval (Fall 1995);; CS 760 - Machine Learning (Spring 1996);; Some Interesting Links;; U-Wisc CS Dept;; U-Wisc AI Group;; U-Wisc Machine Learning Group (my group);; U-Wisc Computational Biology Research (includes some ML);; U-Wisc Computational Neuroscience Research;; Various local links of interest;; Procs: Workshop on Agents that Learn from Other Agents,; held at the 1995 International Machine Learning Conference.;;Last modified: Fri Jul 5 18:40:39 1996 by Jude Shavlik;shavlik@cs.wisc.edu;