설명기반학습(EBL)의 원리와 응용

References

1. Machine Learning v.1 Learning at the Knowledge Level Dietterich,T.G.
2. Machine Learning v.1 Explanation-Based Generalization : a Unifying View Mitchell,T.M.;Keller,R.M.;Kedar-Cabelli,S.T.
3. Machine Learning v.1 Explanation-Based Learning : an Alternative View DeJong,G.F.;Mooney,R.
4. Proceedings of the Tenth International Joint Conference on Artificial Intelligence Strategies for Learning Search Control Rules : an Explanation-Based Approach Minton,S.;Carbonell,J.T.
5. Machine Learning v.1 Chunking in Soar : The Anatomy of a General Learning Mechanism Laird,J.E.;Rosenbloom,P.S.;Newell,A.
6. Proceedings of the Tenth National Conference on Artificial Intelligence Learning from Goal Interactions in Planning : Goal Stack Analysis and Generalization Ryu,K.R.;Irani,K.B.
7. A Computer Model of Skill Acquisition Sussman,G.J.
8. IBM Journal v.3 no.3 Some Studies in Machine Learning Using the Game of Checkers Samuel,A.L.
9. Machine Learning : An Artificial Intelligence Approach Learning by Experimentation : Acquiring and Refining Problem-Solving Heuristics Mitchell,T.M.;Utgoff,P.E.;Banerji,R.
10. Machine Learning v.3 Credit Assignment in Rule Discovery Systems Based on Genetic Algorithms Grefenstette,J.J.
11. Artificial Intelligence v.3 Learning and Executing Generalized Robot Plans Fikes,R.E.;Hart,P.E.;Nilsson,N.J.
12. Readings in Machine Learning Shavlik,J.W.(ed.);Dietterich,T.G.(ed.)
13. A General Explanation-Based Learning Mechanism and Ite Application to Narrative Understanding Mooney,R.J.
14. Artificial Intelligence v.42 Quantitative Results Concerning the Utility of Explanation-Based Learning Minton,S.
15. Proceedings of the Ninth International Joint Conference on Artificial Intelligence Selectively Generalizing Plans for Problem-Solving Minton,S.
16. Machine Learning v.3 A Heuristic Approach to the Discovery of Macro Opeartors Iba,G.A.
17. Proceedings of the Eleventh International Joint Conference on Artificial Intelligence Eliminating Expensive Chunks by Restricting Expressiveness Tambe,M.;Rosenbloom,P.
18. Proceedings of the Fifth International Conference on Machine Learning The Role of Forgetting in Learning Markovitch,S.;Scott,P.D.
19. Proceedings of the Eleventh National Conference on Artificial Intelligence On the Masking Effect Tambe,M.;Rosenbloom,P.
20. Proceedings of the International Conference on Machine Learning Lazy Partial Evaluation : An Integration of Explanation-Based Generalization and Partial Evaluation Clark,P.;Holte,R.
21. Proceedings of the Tenth National Conference on Artificial Intelligence COMPOSER : A Probabilistic Solution to the Utility Problem in Speed-up Learning Gratch,J.;DeJong,G.
22. Proceedings of the Tenth National Conference on Artificial Intelligence A Statistical Approach to Solving the EBL Utility Problem Greiner,R.;Jurisica,I.
23. Proceedings of the Tenth National Conference on Artificial Intelligence Empirical Analysis of the General Utility Problem in Machine Learning Holder,L.B.
24. Proceedings of the Eleventh National Conference on Artificial Intelligence Permissive Planning : A Machine Learning Approach to Linking Internal and External Worlds DeJong,G.;Bennett,S.
25. Proceedings of the Twelfth National Conference on Artificial Intelligence Exploiting the Ordering of Observed Problem-solving Steps for Knowledge Base Refinement : an Apprenticeship Approach Donoho,S.K.;Wilkins,D.C.
26. Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence Integrating Inductive Neural Network Learning and Explanation-Based Learning Thrun,S.B.;Mitchell,T.M.
27. Proceedings of the Twelfth National Conference on Artificial Intelligence Learning Explanation-Based Search Control Rules for Partial Order Planning Katukam,S.;Kambhampati,S.
28. Proceedings of the Twelfth National Conference on Artificial Intelligence Agents that Learn to Explain Themselves Johnson,W.L.