Download Algorithmic Learning Theory: 14th International Conference, by Thomas Eiter (auth.), Ricard Gavaldá, Klaus P. Jantke, Eiji PDF

By Thomas Eiter (auth.), Ricard Gavaldá, Klaus P. Jantke, Eiji Takimoto (eds.)

This e-book constitutes the refereed complaints of the 14th foreign convention on Algorithmic studying concept, ALT 2003, held in Sapporo, Japan in October 2003.

The 19 revised complete papers provided including 2 invited papers and abstracts of three invited talks have been conscientiously reviewed and chosen from 37 submissions. The papers are prepared in topical sections on inductive inference, studying and data extraction, studying with queries, studying with non-linear optimization, studying from random examples, and on-line prediction.

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Additional info for Algorithmic Learning Theory: 14th International Conference, ALT 2003, Sapporo, Japan, October 17-19, 2003. Proceedings

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L. Blum and M. Blum, Toward a mathematical theory of inductive inference, Information and Control 28, 125–155, 1975. 7. A. Blumer, A. Ehrenfeucht, D. Haussler and M. Warmuth, Learnability and the Vapnik-Chervonenkis Dimension, Journal of the ACM 36 (1989), 929–965. 8. I. Bratko and S. Muggleton, Applications of inductive logic programming, Communications of the ACM, 1995. 9. J. Case, S. Jain, S. Lange and T. Zeugmann, Incremental Concept Learning for Bounded Data Mining, Information and Computation 152, No.

As an input, such a meta-IIM gets a description of one of the learning R. Gavald` a et al. ): ALT 2003, LNAI 2842, pp. 39–53, 2003. c Springer-Verlag Berlin Heidelberg 2003 40 S. Zilles problems Ci (in our context a class Ci of recursive functions) in the collection. The meta-IIM is then supposed to develop a successful IIM for Ci . Besides studies on uniform learning of classes of recursive functions, cf. [12,16], this topic has also been investigated in the context of learning formal languages, see in particular [1,13,14].

Miyano, S. Kuhara and S. Arikawa, Knowledge acquisition from amino acid sequences by machine learning system BONSAI, Trans. Information Processing Society of Japan 35, 2009–2018, 1994. 40. E. A. Fulk & J. ), Proceedings of the Third Annual ACM Workshop on Computational Learning Theory, (pp. 122–129). San Mateo, CA: Morgan Kaufmann, (1990). 41. T. Shinohara, Inferring unions of two pattern languages, Bulletin of Informatics and Cybernetics 20, 83–88, 1983. 42. T. Shinohara, Inductive inference of monotonic formal systems from positive data, New Generation Computing 8, 371–384, 1991.

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