Algorithmic learning theory : third workshop, ALT '92, Tokyo, Japan, October 20-22, 1992 : proceedings

Title
  1. Algorithmic learning theory : third workshop, ALT '92, Tokyo, Japan, October 20-22, 1992 : proceedings / S. Doshita [and others], eds.
Published by
  1. Berlin ; New York : Springer-Verlag, ©1993.
Author
  1. ALT '92 (1992 : Tokyo, Japan)

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StatusFormatTextAccessUse in libraryCall numberQA76.9.A43 A48 1992Item locationOff-site

Details

Additional authors
  1. Doshita, S. (Shuji), 1935-
Description
  1. x, 259 pages : illustrations; 24 cm.
Series statement
  1. Lecture notes in computer science ; 743. Lecture notes in artificial intelligence
Uniform title
  1. Lecture notes in computer science ; 743.
  2. Lecture notes in computer science. Lecture notes in artificial intelligence.
Subject
  1. Computer algorithms > Congresses
  2. Machine learning > Congresses
  3. Computer algorithms
  4. Machine learning
  5. Lerntheorie
  6. Maschinelles Lernen
  7. Mathematische Lerntheorie
  8. Kongress
  9. Leertheorieën
  10. Algoritmos E Estruturas De Dados
  11. Inteligencia Artificial (Computacao)
  12. Artificial intelligence > Congresses
  13. Neural networks (Computer science) > Congresses
  14. Apprentissage automatique > Congrès
  15. Algorithmes > Congrès
  16. Kongreß
Genre/Form
  1. Conference papers and proceedings.
  2. Tokio (1992)
Contents
  1. Discovery Learning in Intelligent Tutoring Systems / S. Otsuki -- From Inductive Inference to Algorithmic Learning Theory / R. Wiehagen -- A Stochastic Approach to Genetic Information Processing / A. Konagaya -- On Learning Systolic Languages / T. Yokomori -- A Note on the Query Complexity of Learning DFA / J.L. Balcazar, J. Diaz, R. Gavalda and O. Watanabe -- Polynomial-Time MAT Learning of Multilinear Logic Programs / K. Ito and A. Yamamoto -- Iterative Weighted Least Squares Algorithms for Neural Networks Classifiers / T. Kurita -- Domains of Attraction in Autoassociative Memory Networks for Character Pattern Recognition / K. Niijima -- Regularization Learning of Neural Networks for Generalization / S. Akaho -- Competitive Learning by Entropy Minimization / R. Kamimura -- Inductive Inference with Bounded Mind Changes / Y. Mukouchi -- Efficient Inductive Inference of Primitive Prologs from Positive Data / H. Ishizaka, H. Arimura and T. Shinohara -- Monotonic Language Learning / S. Kapur.
  2. Prudence in Vacillatory Language Identification / S. Jain and A. Sharma -- Implementation of Heuristic Problem Solving Process Including Analogical Reasoning / K. Ueda and S. Nagano -- Planning with Abstraction Based on Partial Predicate Mappings / Y. Okubo and M. Haraguchi -- Learning k-Term Monotone Boolean Formulae / Y. Sakai and A. Maruoka -- Some Improved Sample Complexity Bounds in the Probabilistic PAC Learning Model / J. Takeuchi -- An Application of Bernstein Polynomials in PAC Model / M. Matsuoka -- On PAC Learnability of Functional Dependencies / T. Akutsu and A. Takasu -- Protein Secondary Structure Prediction Based on Stochastic-Rule Learning / H. Mamitsuka and K. Yamanishi -- Notes on the PAC Learning of Geometric Concepts with Additional Information / K. Kakihara and H. Imai.
Owning institution
  1. Princeton University Library
Bibliography (note)
  1. Includes bibliographical references and index.