ALT 1993

32 papers

A Decomposition Based Induction Model for Discovering Concept Clusters from Databases Ning Zhong, Setsuo Ohsuga

A New Algorithm for Automatic Configuration of Hidden Markov Models Makoto Iwayama, Nitin Indurkhya, Hiroshi Motoda

A Perceptual Criterion for Visually Controlling Learning Masaki Suwa, Hiroshi Motoda

A Typed Lambda-Calculus for Proving-by-Example and Bottom-up Generalization Procedure Masami Hagiya

Algebraic Structure of Some Learning Systems Jean-Gabriel Ganascia

Case-Based Representation and Learning of Pattern Languages Klaus P. Jantke, Steffen Lange

Complexity of Computing Vapnik-Chervonenkis Dimension Ayumi Shinohara

Epsilon-Approximations of K-Label Spaces Susumu Hasegawa, Hiroshi Imai, Masaki Ishiguro

Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries Atsuyoshi Nakamura, Naoki Abe

Generalized Unification as Background Knowledge in Learning Logic Programs Akihiro Yamamoto

How to Invent Characterizable Inference Methods for Regular Languages Timo Knuutila

Identifying and Using Patterns in Sequential Data Philip Laird

Induction of Probabilistic Rules Based on Rough Set Theory Shusaku Tsumoto, Hiroshi Tanaka

Inductive Inference Machines That Can Refute Hypothesis Spaces Yasuhito Mukouchi, Setsuo Arikawa

Inductive Resolution Taisuke Sato, Sumitaka Akiba

Learning Strategies Using Decision Lists Satoshi Kobayashi

Learning Theory Toward Genome Informatics Satoru Miyano

Learning with Growing Quality Juris Viksna

Neural Discriminant Analysis Jorge Ricardo Cuellar, Hans Ulrich Simon

On Aggregating Teams of Learning Machines Sanjay Jain, Arun Sharma

On the Duality Between Mechanistic Learners and What It Is They Learn Rusins Freivalds, Carl H. Smith

On the Sample Complexity of Consistent Learning with One-Sided Error Eiji Takimoto, Akira Maruoka

On the VC-Dimension of Depth Four Threshold Circuits and the Complexity of Boolean-Valued Functions Akito Sakurai

Optimal Layered Learning: A PAC Approach to Incremental Sampling Stephen H. Muggleton

Properties of Language Classes with Finite Elasticity Takashi Moriyama, Masako Sato

Reformulation of Explanation by Linear Logic: Toward Logic for Explanation Jun Arima, Hajime Sawamura

The VC-Dimensions of Finite Automata with N States Yoshiyasu Ishigami, Sei'ichi Tani

Thue Systems and DNA - A Learning Algorithm for a Subclass Rani Siromoney, D. Gnanaraj Thomas, K. G. Subramanian, V. Rajkumar Dare

Towards Efficient Inductive Synthesis of Expressions from Input/Output Examples Janis Barzdins, Guntis Barzdins, Kalvis Apsitis, Ugis Sarkans

Uniform Charakterizations of Various Kinds of Language Learning Shyam Kapur

Unifying Learning Methods by Colored Digraphs Kenichi Yoshida, Hiroshi Motoda, Nitin Indurkhya

Use of Reduction Arguments in Determining Popperian FIN-Type Learning Capabilities Robert P. Daley, Bala Kalyanasundaram