CHARLES ELKAN

Visiting Associate Professor
Department of Computer Science
Harvard University
Cambridge, Massachusetts 02138 Associate Professor
Department of Computer Science and Engineering
University of California, San Diego
La Jolla, California 92093-0114 elkan@cs.ucsd.edu

AWARDS

Award for first place out of 45 entries in the data mining competition at the International Conference on Knowledge Discovery in Databases (KDD'97), August 1997. (For a description of the method used, see the paper Boosting and Naive Bayesian Learning.)

Honorable mention, best-written paper competition, National Conference on Artificial Intelligence (AAAI'93), July 1993, for The Paradoxical Success of Fuzzy Logic.

Best paper award, IEEE Conference on Artificial Intelligence for Applications (CAIA'93), March 1993, for Categorization-Based Diagnostic Problem Solving in the VLSI Design Domain with A. Hekmatpour.

THESES ADVISED

Amir Hekmatpour, Ph.D. 1993.
Timothy L. Bailey, Ph.D. 1995.
Karan Bhatia, M.S. 1995.
Charles Chu, M.S. 1996.
William Riordan, M.S. 1996.
David Martinez, M.S. 1996.
Michael Sussna, Ph.D. 1997.
Alvaro Monge, Ph.D. 1997.
Timothy Leek, M.S. 1997. Thesis Information extraction using hidden Markov models.
William N. Grundy, Ph.D. 1998.

COMMITTEES

Program committee member, 1998 and 1997 International Conferences on Knowledge Discovery in Databases (KDD'97,'98), 1998 and 1996 National Conference on Artificial Intelligence (AAAI'96.'98), 1995 International Conference on Machine Learning (ML'95), and many other conferences.

Organizer and program co-chair, AAAI Spring Symposium on Knowledge Assimilation, March 1992.

SELECTED PAPERS

C. Elkan. Boosting and Naive Bayesian Learning. Technical Report No. CS97-557, September 1997, UCSD. First version May 1997.

A. M. Segre and C. Elkan. Exploratory analysis of speedup learning data using expectation maximization. Artificial Intelligence, vol. 85, no. 1-2, pp. 301-319, August 1996.

T. L. Bailey and C. Elkan. The Value of Prior Knowledge in Finding Motifs with MEME. In Proceedings of the Third International Conference on Intelligent Systems for Molecular Biology (ISMB'95). Cambridge, England, July 1995.

T. L. Bailey and C. Elkan. Unsupervised Learning of Multiple Motifs in Biopolymers using Expectation Maximization. In Machine Learning, 1995.

A. M. Segre and C. Elkan. A High-Performance Explanation-Based Learning Algorithm. Artificial Intelligence, vol. 69, no. 1, pp. 1-50, September 1994.

C. Elkan.The Paradoxical Success of Fuzzy Logic. IEEE Expert, pp. 3-8, August 1994. With fifteen responses on pp. 9-46. First version in AAAI'93 proceedings, pp. 698-703.

C. Elkan.The Paradoxical Controversy over Fuzzy Logic. IEEE Expert, pp. 47-49, August 1994.

T. L. Bailey and C. Elkan. Fitting a Mixture Model by Expectation Maximization to Discover Motifs in Biopolymers. In Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology (ISMB'94), pp. 28-36. Stanford, California, August 1994.

T. L. Bailey and C. Elkan. Estimating the Accuracy of Learned Concepts. In Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence (IJCAI'93), pp. 895-900. Chambéry, France, September 1993.

A. Hekmatpour and C. Elkan. Categorization-Based Diagnostic Problem Solving in the VLSI Design Domain In Proceedings of the Ninth IEEE Conference on Artificial Intelligence for Applications (CAIA'93), pp. 121-127. Orlando, Florida, March 1993. IEEE Press.

C. Elkan. Reasoning about Action in First-Order Logic. In Proceedings of the Ninth Biennial Conference of the Canadian Society for Computational Studies of Intelligence (CSCSI'92). Vancouver, Canada, May 1992. Morgan Kaufmann Publishers, Inc.

For a complete list of refereed papers, see this curriculum vitae.