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EDWIN PEDNAULT

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C. Apte, E. Bibelnieks, R. Natarajan, E.P.D. Pednault, F. Tipu, D. Campbell, and B. Nelson, "Segmentation-Based Modeling for Advanced Targeted Marketing," IBM Research Report RC-21982. To appear in Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), San Francisco, August 2001. (pdf)

R. Natarajan and E.P.D. Pednault, "Using Simulated Pseudo Data to Speed Up Statistical Predictive Modeling from Massive Data Sets," in SIAM First International Conference on Data Mining, Chicago, IL, April 2001. (pdf)

E.P.D. Pednault, B.K. Rosen, C. Apte, "The Importance of Estimation Errors in Cost-Sensitive Learning," IBM Research Report RC-21757, also in ICML Workshop on Cost-Sensitive Learning, July 2000. (pdf)

E.P.D. Pednault, B.K. Rosen, C. Apte, "Handling Imbalanced Data Sets in Insurance Risk Modeling," IBM Research Report RC-21731, also in AAAI Workshop on Learning from Imbalanced Data Sets, July 2000. (pdf)

E.P.D. Pednault, "Representation is everything," Invited paper, Communications of the ACM, Special Issue on Personalization, Vol. 43, No. 8, pp. 80-83, August 2000. (pdf, html)

C. Apte, E. Grossman, E. Pednault, B. Rosen, F. Tipu, and B. White, "Probabilistic Estimation-Based Data Mining for Discovering Insurance Risks," IEEE Intelligent Systems, Vol. 14, No. 6, pp. 49-58, 1999. (pdf)

E. P. D. Pednault, "Statistical Learning Theory," in R. Wilson and F. Keil (eds), The MIT Encyclopedia of the Cognitive Sciences, pp. 798-801, MIT Press, Cambridge, Massachusetts, 1999. (pdf)

C. Apte, E. Grossman, E. Pednault, B. Rosen, F. Tipu, and B. White, "Insurance Risk Modeling Using Data Mining Technology," in Proceedings of the Third International Conference on the Practical Application of Knowledge Discovery and Data Mining, April, 1999. (pdf)

C. Apte, E. Pednault, and S. M. Weiss, "Data Mining with Extended Symbolic Models," in Proceedings of the Joint Statistical Meeting (JSM'98), Statistical Computing Section, 1998. (pdf)

C. Apte, S. J. Hong, J. Hosking, J. Lepre, E. Pednault, and B. Rosen, "Decomposition of Heterogeneous Classification Problems," Intelligent Data Analysis, Vol. 2, No. 2, April 1998. Also in Lecture Notes in Computer Science, X. Liu, P. Cohen, and M. Berthold (eds), Vol. 1280, pp. 17-28, 1997, Berlin: Springer-Verlag. (pdf)

J. R. M. Hosking, E. P. D. Pednault, and M. Sudan, "A Statistical Perspective on Data Mining," Future Generation Computer Systems, Vol. 13, Nos. 2 & 3, pp. 117-134, 1997. (pdf)

E. P. D. Pednault, "ADL and the State-Transition Model of Action," Journal of Logic and Computation, Special Issue on Actions and Processes, Vol. 4, No. 5, pp. 467-512, 1994.

W. Chiang, C. Cortes, L. Jackel, Y. LeCun, W. Lee, E. Pednault, and V. Vapnik, "Predicting Transportpath Degradation/Failure Based on Recent Performance History," Proceedings of the IEEE Symposium on Intelligent Systems in Communications and Power (SISCAP '94), 1994.

M. S. Babcock, E. P. D. Pednault, and W. K. Olson, "Nucleic Acid Structure Analysis: Mathematics for Local Cartesian and Helical Structure Parameters That Are Truly Comparable Between Structures," Journal of Molecular Biology, Vol. 237, pp. 98-124, 1994.

M. S. Babcock, E. P. D. Pednault, and W. K. Olson, "Nucleic Acid Structure Analysis: A Users Guide to a Collection of New Analysis Programs," Journal of Biomolecular Structure and Dynamics, Vol. 11, pp. 597-628, 1993.

O. Matan, J. Bromeley, C. Burges, J. Denker, L. Jackel, Y. Le Cun, E. Pednault, W. Satterfield, C. Stenard, and T. Thompson, "Reading Handwritten Digits: A Zip Code Recognition System," IEEE Computer, Vol. 25, No. 7, pp. 59-63, July 1992.

L. D. Jackel, C. E. Stenard, H. S. Baird, B. Boser, J. Bromley, C. J. C. Burges, J. S. Denker, H. P. Graf, D. Henderson, R. E. Howard, W. Hubbard, Y. LeCun, O. Matan, E. Pednault, W. Satterfield, E. Sackinger, and T. Thompson, "A Neural Network Approach to Handprint Character Recognition," Proceedings 36th IEEE Computer Society International Conference, pp. 472, 1991.

E. P. D. Pednault, "Minimal-Length Encoding and Inductive Inference," in G. Piatetsky-Shapiro and W. Frawley (eds.), Knowledge Discovery in Databases, pp. 71-92, AAAI Press, 1991.

E. P. D. Pednault, "Generalizing Nonlinear Planning to Handle Complex Goals and Actions with Context-Dependent Effects," Proceedings of the 12th International Joint Conference on Artificial Intelligence, Sydney, Australia, pp. 249-254, 1991.

E. P. D. Pednault, "1990 AAAI Spring Symposium Report: Theory and Application of Minimal-Length Encoding," AI Magazine, Vol. 11, No. 5, pp. 94-96, 1991.

M. S. Babcock, W. K. Olson, and E. P. D. Pednault, "The Use of the Minimum Description-Length Principle to Segment DNA into Structural and Functional Domains," presented at the joint session between the 1990 AAAI Spring Symposiums on the Theory and Application and Minimal-Length Encoding and on AI and Molecular Biology, Stanford University, Stanford, California, MLE Proceedings pp. 40-44, 1990.

E. P. D. Pednault, "Some Experiments in Applying Inductive Inference Principles to Surface Reconstruction," Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, Detroit, Michigan, pp. 1603-1609, 1989.

E. P. D. Pednault, "ADL: Exploring the Middle Ground Between STRIPS and the Situation Calculus," Proceedings of the First International Conference on Principles of Knowledge Representation and Reasoning, Toronto, Canada, pp. 324-332, 1989.

E. P. D. Pednault, "Synthesizing Plans that Contain Actions with Context-Dependent Effects," Computational Intelligence, Special Issue on Automatic Planning, Vol. 4, No. 4, 356-372, 1988.

E. P. D. Pednault, "Inferring Probabilistic Theories from Data," Proceedings of the Seventh National Conference on Artificial Intelligence, Saint Paul, Minnesota, pp. 624-628, 1988.

E. P. D. Pednault, "Extending Conventional Planning Techniques to Handle Actions with Context-Dependent Effects," Proceedings of the Seventh National Conference on Artificial Intelligence, Saint Paul, Minnesota, pp. 55-59, 1988.

H. A. Kautz and E. P. D. Pednault, "Planning and Plan Recognition," AT&T Technical Journal, Vol. 67, No. 1, pp. 25-40, 1988.

E. P. D. Pednault, "Formulating Multiagent, Dynamic-World Problems in the Classical Planning Framework," in M.P. Georgeff and A.L. Lansky (eds.), Reasoning about Actions and Plans: Proceedings of the 1986 Workshop, pp. 47-82, Morgan Kaufmann Publishers, Los Altos, California, (1987). Also reprinted in J. Allen, J. Hendler, and A. Tate, Readings in Planning, pp. 675-710, Morgan Kaufmann Publishers, Los Altos, California, 1990.

E. P. D. Pednault, Toward a Mathematical Theory of Plan Synthesis, Ph.D. Thesis, Department of Electrical Engineering, Stanford University, Stanford, California, 1986 (245 pages).

E. P. D. Pednault, "Preliminary Report on a Theory of Plan Synthesis," Technical Note 358, Artificial Intelligence Center, SRI International, Menlo Park, California, 1985.

E. P. D. Pednault, S. W. Zucker, and L. V. Muresan, "On the Independence Assumptions Underlying Subjective Bayesian Updating," Artificial Intelligence, Vol. 16, No. 2, pp. 213-222, 1981.


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