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References
DeJong, G. and Mooney, R. 1986. “Explanation-based learning: an alternative view.” Machine Learning 1. p. 145–176.
de Kleer, J. 1986a. “An assumption-based TMS.” Artificial Intelligence 28. p. 127–162.
de Kleer, J. 1986b. “Problem solving with the ATMS.” Artificial Intelligence 28. p. 197–224.
de Kleer, J. and Williams, B. C. 1987. “Diagnosing multiple faults.” Artificial Intelligence 32, p. 97–130.
Kedar-Cabelli, S. T. and McCarty, L. T, 1987. “Explanation-based generalization as resolution theorem proving.” In Proceedings of the Fourth International Machine Learning Workshop. p. 383–389.
Keller, R. M. 1987. “Defining Operationally for Explanation-Based Learning.” In Proceedings of the Sixth National Conference on Artificial Intelligence. p. 482–487.
Laird, J. E., Rosenbloom, P. S., and Newell, A. 1986. “Chunking in Soar: The anatomy of a general learning mechanism.” Machine Learning 1. p. 11–46.
Liuh, S. and Huhns, M. N. 1986. “Using a TMS for EBG.” MCC Technical Report Nr. AI-445-86.
Mitchell, T. M., Keller, R., and Kedar-Cabelli, S. 1986. “Explanation-based generalization: a unifying view.” Machine Learning 1. p. 47–80.
Mostow, J. and Bhatnagar, N. 1987. “FAILSAFE — A Floor Planer that Uses EBG to Learn from its Failures.” In Proceedings of the International Joint Conference on Artificial Intelligence. p. 249–255.
Prieditis, A. E., and Mostow, J. 1987. “Prolearn: Towards a Prolog Interpreter that Learns.” In Proceedings of the Sixth National Conference on Artificial Intelligence. p. 494–498.
van Harmelen, F. and Bundy, A. 1988. “Explanation-based generalization = partial evaluation.” Artificial Intelligence 36. p. 401–412.
Zercher, K. 1990. “Constructing decision trees from examples and their explanation-based generalizations.” In Proceedings of the 14th German Workshop on Artificial Intelligence (GWAI 90). Marburger, H. (Ed.). p. 267–276.
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© 1993 Springer-Verlag Berlin Heidelberg
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Zercher, K. (1993). L-ATMS: A tight integration of EBL and the ATMS. In: Hanson, S.J., Remmele, W., Rivest, R.L. (eds) Machine Learning: From Theory to Applications. Lecture Notes in Computer Science, vol 661. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56483-7_28
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