Algorithmic Learning Theory
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Algorithmic Learning Theory

Algorithmic Learning Theory

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About the Book

In recent years it has been recognized that learning ability would be indispensable to further new development of intelligent computer software and information systems. The need for new logical tools in learning theory and machine learning is also broadly acknowledged. This work provides insight into current research on deductive and inductive approaches towards algorithmic learning theory. The contributors offer a broad understanding of ALT in the area of machine learning and new learning paradigms.

Table of Contents:
The logic of molecular geneticists for the understanding of genetic information, Y. Sakaki; learning simple Boolean concepts, N. Littlestone; learning in multi-agent environments, P. Brazdil; knowledge-intensive learning in connectionist networks, A. Namatame; learning effect of a dynamic thesaurus in associated information retrieval, H. Kimoto and T. Iwadera; inductive inference of formal languages from positive data enumerated primitive-recursively, A. Sakurai; inductive inferabiity for formal languages from positive data, M. Sato and K. Umayahara; characterization of pattern languages, Y. Mukouchi; polynomial time inference of unions of tree pattern languages, H. Arimura et al; on the role of equivalence theories in MAT learning, S. Tani; ACE - a syntax-directed editor customizable from examples and queries, Y. Takada et al; which classes of elementary formal systems are polynomial-time learnable?, S. Miyano et al; relationships between PAC-learning algorithms and weak Occam algorithms, E. Takimoto and A. Maruoka; preservation of predictability under polynomially sparse variations and its applications, N. Abe; learning non-parametric densities by finite-dimensional parametric hypotheses, K. Yamanishi; a knowledge transfer model - from zero-knowledge toward full-knowledge, Y. Tsukada and K. Koyama; an interactive knowledge transfer model and analysis of "mastermind" game, K. Koyama and T. Lai; analogy of NP-hard, S. Furuya and S. Miyano; proving based on similarity, K. Fujita and M Harao; analogical reasoning using elementary formal system with mismatch, T. Miyahara; the use of abstract primitives in representing the meanings of "verbs" for understanding metaphors, M. Suwa and H. Motoda; analogical reasoning as a form of hypothetical reasoning and justification-based knowledge acquisition, R. Orihara; a logical analysis of relevance in analogy, J. Arima; a form of analogy as an abductive inference, M. Haraguchi; recovery from multiple faults in relational theory, S. Tangkitvanich and M. Shimura; towards learning by abstraction, S. Sakurai and M. Haraguchi; preliminary study on program synthesis based on induction and verification, K. Furukawa.


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Product Details
  • ISBN-13: 9789051990881
  • Publisher: IOS Press
  • Publisher Imprint: IOS Press,US
  • Height: 230 mm
  • Width: 150 mm
  • ISBN-10: 905199088X
  • Publisher Date: 01 Jan 1992
  • Binding: Hardback
  • Language: English


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