
EDWIN
PEDNAULT
PUBLICATIONS
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.