Next: About this document ...
Up: Learning from Experience: Case
Previous: Discussion and Conclusions
- Ackley1987
-
Ackley, D. A.
1987.
A Connectionist Machine for Genetic Hillclimbing.
Kluwer Academic Publishers.
- Caruana, Baluja, & Mitchell1996
-
Caruana, R.; Baluja, S.; and Mitchell, T.
1996.
Using the future to "Sort Out" the present, rankprop and multitask
learning for medical risk prediction.
In Advances in Neural Information Processing Systems 8,
(Proceedings of NIPS-95), 959-965.
- Caruana1997a
-
Caruana, R.
1997a.
Multitask Learning.
Ph.D. Dissertation, School of Computer Science, Carnegie Mellon
University.
Pittsburg, PA.
- Caruana1997b
-
Caruana, R.
1997b.
Multitask learning: A knowledge-based source of inductive bias.
Machine Learning 28:41 - 75.
- Eshelman1991
-
Eshelman, L. J.
1991.
The CHC adaptive search algorithm: How to have safe search when
engaging in nontraditional genetic recombination.
In Rawlins, G. J. E., ed., Foundations of Genetic Algorithms-1.
Morgan Kauffman.
265-283.
- Goel & Chandresekaran1992
-
Goel, A., and Chandresekaran, B.
1992.
Case-based design: A task analysis.
In Tong, C., and Sriram, D., eds., Artificial Intelligence in
Engineering Design, Vol II. Academic Press, Inc.
165-184.
- Goldberg1989
-
Goldberg, D. E.
1989.
Genetic Algorithms in Search, Optimization, and Machine
Learning.
Addison-Wesley.
- Grefenstette, Ramsey, &
Shultz1990
-
Grefenstette, J.; Ramsey, C.; and Shultz, A.
1990.
Learning sequential decision rules using simulation models and
competition.
Machine Learning 5:355-381.
- Grefensttete & Ramsey1992
-
Grefensttete, J., and Ramsey, C.
1992.
An approach to anytime learning.
In Proceedings of the Ninth International Conference on Machine
Learning, 189-195.
San Mateo, California: Morgan Kauffman.
- Holland1975
-
Holland, J.
1975.
Adaptation In Natural and Artificial Systems.
Ann Arbour: The University of Michigan Press.
- Huhns & Acosta1992
-
Huhns, M., and Acosta, R.
1992.
Argo: An analogical reasoning system for solving design problems.
In Tong, C., and Sriram, D., eds., Artificial Intelligence in
Engineering Design, Vol II. Academic Press, Inc.
105-144.
- Janikow1993
-
Janikow, C. Z.
1993.
A knowledge-intensive genetic algorithm for supervised learning.
Machine Learning 13:189-228.
- Koza1993
-
Koza, J. R.
1993.
Genetic Programming.
MIT Press.
- Leake1996
-
Leake, D. B.
1996.
Case-Based Reasoning: Experiences, Lessons, and Future
Directions.
Menlo Park, CA: AAAI/MIT Press.
- Louis & Johnson1997a
-
Louis, S. J., and Johnson, J.
1997a.
Solving similar problems using genetic algorithms and case-based
memory.
In Proceedings of the Seventh International Conference on
Genetic Algorithms, 283-290.
Morgan Kauffman, San Mateo, CA.
- Louis & Johnson1997b
-
Louis, S. J., and Johnson, J.
1997b.
Solving similar problems using genetic algorithms and case-based
memory.
In Proceedings of Seventh International Conference on Genetic
Algorithms, 101-127.
- Louis & Li1997
-
Louis, S. J., and Li, G.
1997.
Combining robot control strategies using genetic algorithms with
memory.
Lecture Notes in Computer Science, Evolutionary Programming VI
1213:431 - 442.
- Louis & Rawlins1991
-
Louis, S. J., and Rawlins, G. J. E.
1991.
Designer genetic algorithms: Genetic algorithms in structure design.
In Proceedings of the Fourth International Conference on Genetic
Algorithms, 53-60.
Morgan Kauffman, San Mateo, CA.
- Louis, McGraw, & Wyckoff1993
-
Louis, S. J.; McGraw, G.; and Wyckoff, R.
1993.
Case-based reasoning assisted explanation of genetic algorithm
results.
Journal of Experimental and Theoretical Artificial Intelligence
5:21-37.
- Mostow, Barley, & Weinrich1992
-
Mostow, J.; Barley, M.; and Weinrich, T.
1992.
Automated reuse of design plans in bogart.
In Tong, C., and Sriram, D., eds., Artificial Intelligence in
Engineering Design, Vol II. Academic Press, Inc.
57-104.
- Ramsey & Grefensttete1993
-
Ramsey, C., and Grefensttete, J.
1993.
Case-based initialization of genetic algorithms.
In Forrest, S., ed., Proceedings of the Fifth International
Conference on Genetic Algorithms, 84-91.
San Mateo, California: Morgan Kauffman.
- Riesbeck & Schank1989
-
Riesbeck, C. K., and Schank, R. C.
1989.
Inside Case-Based Reasoning.
Cambridge, MA: Lawrence Erlbaum Associates.
- Schoenauer & Xanthakis1993
-
Schoenauer, M., and Xanthakis, S.
1993.
Constrained ga optimization.
In Proceedings of the Fifth International Conference on Genetic
Algorithms, 573-580.
Morgan Kauffman, San Mateo, CA.
- Sheppard & Salzburg1995
-
Sheppard, J. W., and Salzburg, S. L.
1995.
Combining genetic algorithms with memory based reasoning.
In Forrest, S., ed., Proceedings of the Sixth International
Conference on Genetic Algorithms, 452-459.
San Mateo, California: Morgan Kauffman.
- Smith1985
-
Smith, D.
1985.
Bin packing with adaptive search.
In Proceedings of an International Conference on Genetic
Algorithms, 202-206.
Morgan Kauffman.
- Sycara & Navinchandra1992
-
Sycara, K., and Navinchandra, D.
1992.
Retrieval strategies in case-based design system.
In Tong, C., and Sriram, D., eds., Artificial Intelligence in
Engineering Design, Vol II. Academic Press, Inc.
145-164.
- Thrun1996a
-
Thrun, S.
1996a.
Explanation-Based Neural Network Learning: A Lifelong Learning
Approach.
Amsterdam: Kluwer Academic Publisher.
- Thrun1996b
-
Thrun, S.
1996b.
Is learning the n-th thing any easier than learning the first.
In Advances in Neural Information Processing Systems 8,
(Proceedings of the NIPS-95), 640-646.
Sushil Louis
2001-10-24