On case-based learnability of languages

New Generation Computing

Volumn 15, Issue 1, 1997, Pages 59-83

  Globig, Christoph ^a   Jantke, Klaus P ^b   Lange, Steffen ^b   Sakakibara, Yasubumi ^c  

^a France   (Germany)

^b LEIPZIG UNIVERSITY OF APPLIED SCIENCES   (Germany)

^c FUJITSU LABORATORIES LTD   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; MODELS;

CASE BASED KNOWLEDGE PROCESSING; CASE BASED LEARNABILITY; CASE BASED REASONING;

FORMAL LANGUAGES;

EID: 0030736295     PISSN: 02883635     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF03037560     Document Type: Article

References (21)

1. Aha, D. W., Kibler, D., and Albert, M. C., "Instance-Based Learning Algorithms," Machine Learning, 6, pp. 37-66, 1991.
2. Angluin, D., "Inductive Inference of Formal Languages from Positive Data," Information and Control, 45, pp. 117-135, 1980.
3. Angluin, D. and Smith, C. H., "Inductive Inference: Theory and Methods," ACM Computing Surveys, 15, pp. 237-269, 1983.
4. Blum, L. and Blum, M., "Toward a Mathematical Theory of Inductive Inference," Information and Control, 28, pp. 122-155, 1975.
5. Bakhtari, S., Börner, K., Bartsch-Spörl, B., Coulon, C-H., Janetzko. D., Knauff, M., Hovestadt, L., and Schlieder, C., "EWCBR 93: Contributions of FABEL," FABEL-Report, 17, Gesellschaft für Mathematik und Datenverarbeitung, 1993.
6. Burghardt, U., Dötsch, V., and Frind, S., "TIC - Ein Testrahmen für IND-CBL," CALG 01/96, HTWK Leipzig, Fachbereich IMN, Forschungsgruppe Algorithmisches Lernen, 1996.
7. Coulon, C.-H., Gebhardt, F., "Evaluation of Retrieval Methods in Case-Based Design," FABEL-Report, 24, Gesellshaft für Mathematik und Datenverarbeitung, 1994.
8. Cost, S. and Salzberg, S., "A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features," Machine Learning, 10, pp. 57-78, 1993.
9. Globig, C. and Lange, S., "Case-Based Representability of Classes of Boolean Functions," in Proceedings of 12th European Conference on Artificial Intelligence (ECAI 96), John Wiley & Sons, 1996, to appear.
10. Gold, E. M., "Language Identification in the Limit," Information and Control, 10, pp. 447-474, 1967.
11. Hopcroft, J. E. and Ullman, J. D., Introduction to Automata Theory, Languages, and Computation, Addison-Wesley, 1979.
12. Jantke, K. P., "Case-Based Learning in Inductive Inference," in Proceedings of 5th Workshop on Computational Learning Theory (COLT'92), ACM Press, pp. 218-223, 1992.
13. Jantke., K. P., "Types of Incremental Learning," in Working Notes, AAAI Spring Symposium on Training Issues in Incremental Learning, Stanford University, pp. 26-32, 1993.
14. Jantke K. P. and Lange, S., "Case-Based Representation and Learning of Pattern Languages," in Proceedings of 4th Workshop on Algorithmic Learning Theory (ALT' 93), Lecture Notes in Artificial Intelligence 744, Springer-Verlag, pp. 87-100, 1993.
15. Jantke, K. P. and Lange, S., "Case-Based Representation and Learning of Pattern Languages," Theoretical Computer Science, 137, pp. 25-51, 1995.
16. Kolodner, J. L., "An Introduction to Case-Based Reasoning," Artificial Intelligence Review, 6, pp. 3-34, 1992.
17. Kolodner, J. L., Case-Based Reasoning, Morgan Kaufmann, 1993.
18. Riesbeck, C. K. and Schank, R. C., Inside Case-Based Reasoning, Lawrence Erlbaum Assoc., 1989.
19. Rivest, R. L., "Learning Decision Lists," Machine Learning, 2, pp. 229-246, 1987.
20. Sakakibara, Y. and Siromoney, R., "A Noise Model on Learning Sets of Strings," in Proceedings of 5th Workshop on Computational Learning Theory (COLT'92), ACM Press, pp. 295-302, 1992.
21. Zeugmann, T. and Lange, S., "A Guided Tour Across the Boundaries of Learning Recursive Languages," in Algorithmic Learning for Knowledge-Based Systems (Klaus P. Jantke and Steffen Lange, eds.), Springer-Verlag, pp. 190-258, 1995.