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Algorithmic Learning Theory - ALT '92

  • Kartonierter Einband
  • 276 Seiten
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This volume contains the papers that were presented at the Third Workshop onAlgorithmic Learning Theory, held in Tokyo in October ... Weiterlesen
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Beschreibung

This volume contains the papers that were presented at the Third Workshop onAlgorithmic Learning Theory, held in Tokyo in October 1992. In addition to 3invited papers, the volume contains 19 papers accepted for presentation, selected from 29 submitted extended abstracts. The ALT workshops have been held annually since 1990 and are organized and sponsored by the Japanese Society for Artificial Intelligence. The main objective of these workshops is to provide an open forum for discussions and exchanges of ideasbetween researchers from various backgrounds in this emerging, interdisciplinary field of learning theory. The volume is organized into parts on learning via query, neural networks, inductive inference, analogical reasoning, and approximate learning.

Klappentext

This volume contains the papers that were presented at the
Third Workshop onAlgorithmic Learning Theory, held in Tokyo
in October 1992. In addition to 3invited papers, the volume
contains 19 papers accepted for presentation, selected from
29 submitted extended abstracts. The ALT workshops have been
held annually since 1990 and are organized and sponsored by
the Japanese Society for Artificial Intelligence. The main
objective of these workshops is to provide an open forum for
discussions and exchanges of ideasbetween researchers from
various backgrounds in this emerging, interdisciplinary
field of learning theory. The volume is organized into parts
on learning via query, neural networks, inductive inference,
analogical reasoning, and approximate learning.



Inhalt
Discovery learning in intelligent tutoring systems.- From inductive inference to algorithmic learning theory.- A stochastic approach to genetic information processing.- On learning systolic languages.- A note on the query complexity of learning DFA.- Polynomial-time MAT learning of multilinear logic programs.- Iterative weighted least squares algorithms for neural networks classifiers.- Domains of attraction in autoassociative memory networks for character pattern recognition.- Regularization learning of neural networks for generalization.- Competitive learning by entropy minimization.- Inductive inference with bounded mind changes.- Efficient inductive inference of primitive Prologs from positive data.- Monotonic language learning.- Prudence in vacillatory language identification (Extended abstract).- Implementation of heuristic problem solving process including analogical reasoning.- Planning with abstraction based on partial predicate mappings.- Learning k-term monotone Boolean formulae.- Some improved sample complexity bounds in the probabilistic PAC learning model.- An application of Bernstein polynomials in PAC model.- On PAC learnability of functional dependencies.- Protein secondary structure prediction based on stochastic-rule learning.- Notes on the PAC learning of geometric concepts with additional information.

Produktinformationen

Titel: Algorithmic Learning Theory - ALT '92
Untertitel: Third Workshop, ALT '92, Tokyo, Japan, October 20-22, 1992. Proceedings
Editor:
EAN: 9783540573692
ISBN: 3540573690
Format: Kartonierter Einband
Herausgeber: Springer Berlin Heidelberg
Anzahl Seiten: 276
Gewicht: 423g
Größe: H235mm x B155mm x T14mm
Jahr: 1993
Untertitel: Englisch
Auflage: 1993

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