Algorithmic learning theory : 10th International Conference, ALT'99, Tokyo, Japan, December 6-8, 1999 : proceedings / Osamu Watanabe, Takashi Yokomori, eds.

By: ALT'99 (1999 : Tokyo, Japan)
Contributor(s): Watanabe, Osamu, 1958- | Yokomori, Takashi
Material type: TextTextSeries: SerienbezeichnungLecture notes in computer science: 1720.; Lecture notes in computer science: Publisher: Berlin ; New York : Springer, ©1999Description: 1 online resource (xi, 363 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 3540467696; 9783540467694; 6610804567; 9786610804566Subject(s): Computer algorithms -- Congresses | Machine learning -- Congresses | Computer algorithms | Machine learningGenre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Print version:: Algorithmic learning theory.DDC classification: 006.3/1 LOC classification: QA76.9.A43 | A48 1999Other classification: 54.72 | SS 4800 Online resources: Click here to access online Summary: This book constitutes the refereed proceedings of the 10th International Conference on Algorithmic Learning Theory, ALT'99, held in Tokyo, Japan, in December 1999. The 26 full papers presented were carefully reviewed and selected from a total of 51 submissions. Also included are three invited papers. The papers are organized in sections on Learning Dimension, Inductive Inference, Inductive Logic Programming, PAC Learning, Mathematical Tools for Learning, Learning Recursive Functions, Query Learning and On-Line Learning.
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Includes bibliographical references and index.

This book constitutes the refereed proceedings of the 10th International Conference on Algorithmic Learning Theory, ALT'99, held in Tokyo, Japan, in December 1999. The 26 full papers presented were carefully reviewed and selected from a total of 51 submissions. Also included are three invited papers. The papers are organized in sections on Learning Dimension, Inductive Inference, Inductive Logic Programming, PAC Learning, Mathematical Tools for Learning, Learning Recursive Functions, Query Learning and On-Line Learning.

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