ALT 1992

22 papers

A Note on the Query Complexity of Learning DFA (Extended Abstract) José L. Balcázar, Josep Díaz, Ricard Gavaldà, Osamu Watanabe

A Stochastic Approach to Genetic Information Processing Akihiko Konagaya

An Application of Bernstein Polynomials in PAC Model Masahiro Matsuoka

Competitive Learning by Entropy Minimization Ryotaro Kamimura

Discovery Learning in Intelligent Tutoring Systems Setsuko Otsuki

Domains of Attraction in Autoassociative Memory Networks for Character Pattern Recognition Koichi Niijima

Efficient Inductive Inference of Primitive Prologs from Positive Data Hiroki Ishizaka, Hiroki Arimura, Takeshi Shinohara

From Inductive Inference to Algorithmic Learning Theory Rolf Wiehagen

Implementation of Heuristic Problem Solving Process Including Analogical Reasoning Kazuhiro Ueda, Saburo Nagano

Inductive Inference with Bounded Mind Changes Yasuhito Mukouchi

Iterative Weighted Least Squares Algorithms for Neural Networks Classifiers Takio Kurita

Learning K-Term Monotone Boolean Formulae Yoshifumi Sakai, Akira Maruoka

Monotonic Language Learning Shyam Kapur

Notes on the PAC Learning of Geometric Concepts with Additional Information Ken-ichiro Kakihara, Hiroshi Imai

On Learning Systolic Languages Takashi Yokomori

On PAC Learnability of Functional Dependencies Tatsuya Akutsu, Atsuhiro Takasu

Planning with Abstraction Based on Partial Predicate Mappings Yoshiaki Okubo, Makoto Haraguchi

Polynomial-Time MAT Learning of Multilinear Logic Programs Kimihito Ito, Akihiro Yamamoto

Protein Secondary Structure Prediction Based on Stochastic-Rule Learning Hiroshi Mamitsuka, Kenji Yamanishi

Prudence in Vacillatory Language Identification (Extended Abstract) Sanjay Jain, Arun Sharma

Regularization Learning of Neural Networks for Generalization Shotaro Akaho

Some Improved Sample Complexity Bounds in the Probabilistic PAC Learning Model Jun'ichi Takeuchi