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

保存先:
書誌詳細
団体著者: ALT '92, Tokyo, Japan
その他の著者: Doshita, S. (Shuji), 1935-
フォーマット: 会議録 図書
言語:English
出版事項: Berlin ; New York : Springer-Verlag, c1993.
シリーズ:Lecture notes in computer science ; 743.
Lecture notes in computer science. Lecture notes in artificial intelligence.
主題:
目次:
  • 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
  • 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.