The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Explanation-based learning: An alternative view
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Cites
Principles of Artificial Intelligence
Nilsson, N. J. (1982) · doi:10.1007/978-3-662-09438-9 · Cited by 3,457 · cited 2×
“The generalization process used in EBG is a specialization of goal-regression (Waldinger, 1977; Nilsson, 1980).”
BackgroundMethodExplanation-Based Generalization: A Unifying View
Mitchell, T. M., Keller, R. M., & Kedar-Cabelli, S. T. (1986) · Machine Learning · doi:10.1023/a:1022691120807 · Cited by 1,382
Cited by
Deep learning in neural networks: an overview
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SOAR: An Architecture for General Intelligence
Laird, J. E., Newell, A., & Rosenbloom, P. S. (1987) · Artificial Intelligence · doi:10.1016/0004-3702(87)90050-6 · Cited by 2,535
Learning Logical Definitions from Relations
Quinlan, J. R. (1990) · Machine Learning · doi:10.1023/a:1022699322624 · Cited by 1,644
The structure-mapping engine: Algorithm and examples
Falkenhainer, B., Forbus, K. D., & Gentner, D. (1989) · Artificial Intelligence · doi:10.1016/0004-3702(89)90077-5 · Cited by 1,454
Explanation-Based Generalization: A Unifying View
Mitchell, T. M., Keller, R. M., & Kedar-Cabelli, S. T. (1986) · Machine Learning · doi:10.1023/a:1022691120807 · Cited by 1,382
A symbolic-connectionist theory of relational inference and generalization.
Hummel, J. E., & Holyoak, K. J. (2003) · Psychological Review · doi:10.1037/0033-295x.110.2.220 · Cited by 567
Machine Invention of First-order Predicates by Inverting Resolution
MUGGLETON, S., & BUNTINE, W. (1988) · Machine Learning Proceedings 1988 · doi:10.1016/b978-0-934613-64-4.50040-2 · Cited by 436
(2010) · Cited by 186
The changing science of machine learning
Langley, P. (2011) · Machine Learning · doi:10.1007/s10994-011-5242-y · Cited by 174
Generalized subsumption and its applications to induction and redundancy
Buntine, W. (1988) · Artificial Intelligence · doi:10.1016/0004-3702(88)90001-x · Cited by 168
Explanation-Based Generalization as Resolution Theorem Proving
KEDAR-CABELLI, S. T., & MCCARTY, L. T. (1987) · Proceedings of the Fourth International Workshop on MACHINE LEARNING · doi:10.1016/b978-0-934613-41-5.50041-6 · Cited by 123
Interactive Concept-Learning and Constructive Induction by Analogy
de Raedt, L., & Bruynooghe, M. (1992) · Machine Learning · doi:10.1023/a:1022664419589 · Cited by 65
TopLog: ILP Using a Logic Program Declarative Bias
Muggleton, S. H., Santos, J. C. A., & Tamaddoni-Nezhad, A. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-89982-2_58 · Cited by 29
LEARNING PLAYING STRATEGIES IN CHESS
Morales, E. M. (1996) · Computational Intelligence · doi:10.1111/j.1467-8640.1996.tb00253.x · Cited by 12
Logic-Based Explainable and Incremental Machine Learning
Gupta, G., Wang, H., Basu, K., Shakerin, F., Salazar, E., Varanasi, S. C., Padalkar, P., & Dasgupta, S. (2023) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-35254-6_28 · Cited by 4
Metadata
- Authors
- Dejong, G., & Mooney, R.
- Venue
- Machine Learning
- Published
- 1986
- Volume
- 1
- Issue
- 2
- Pages
- 145-176
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W2101602574
- Cited by
- 950
- References
- 2
- FWCI
- 75.47
- Type
- journal article
- Language
- en
- Open access
- bronze
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