ALT 1996

28 papers

A Class of Prolog Programs Inferable from Positive Data M. R. K. Krishna Rao

Boosting First-Order Learning J. Ross Quinlan

Constructive Learning of Translations Based on Dictionaries Noriko Sugimoto, Kouichi Hirata, Hiroki Ishizaka

Cost-Sensitive Feature Reduction Applied to a Hybrid Genetic Algorithm Nada Lavrac, Dragan Gamberger, Peter D. Turney

Effects of Feature Selection with 'Blurring' on NeuroFuzzy Systems Selwyn Piramuthu

Efficient Learning of Real Time Two-Counter Automata (Extended Abstract) Amr F. Fahmy, Robert S. Roos

Genetic Fitness Optimization Using Rapidly Mixing Markov Chains Paul M. B. Vitányi

Improved Bounds About On-Line Learning of Smooth Functions of a Single Variable Philip M. Long

Incorporating Hypothetical Knowledge into the Process of Inductive Synthesis Janis Barzdins, Ugis Sarkans

Induction of Constraint Logic Programs Lionel Martin, Christel Vrain

Inductive Inference of Unbounded Unions of Pattern Languages from Positive Data Takeshi Shinohara, Hiroki Arimura

Inductive Logic Programming Beyond Logical Implication Jianguo Lu, Jun Arima

Learnability of Exclusive-or Expansion Based on Monotone DNF Formulas Eiji Takimoto, Yoshifumi Sakai, Akira Maruoka

Learning a Representation for Optimizable Formulas Hans Kleine Büning, Theodor Lettmann

Learning by Erasing Steffen Lange, Rolf Wiehagen, Thomas Zeugmann

Limits of Exact Algorithms for Inference of Minimum Size Finite State Machines Arlindo L. Oliveira, Stephen Edwards

Managing Complexity in Neurodial Circuits Leslie G. Valiant

MML Estimation of the Parameters of the Sherical Fisher Distribution David L. Dowe, Jonathan J. Oliver, Chris S. Wallace

Noise Elimination in Inductive Concept Learning: A Case Study in Medical Diagnosois Dragan Gamberger, Nada Lavrac, Saso Dzeroski

On Learning and Co-Learning of Minimal Programs Sanjay Jain, Efim B. Kinber, Rolf Wiehagen

Probabilitic Limit Identification up to "Small" Sets Juris Viksna

Query Learning of Bounded-Width OBDDs Atsuyoshi Nakamura

Reducing Complexity of Decision Trees with Two Variable Tests R. A. Pearson, E. K. T. Smith

Reflecting Inductive Inference Machines and Its Improvement by Therapy Gunter Grieser

The Complexity of Exactly Learning Algebraic Concepts. (Extended Abstract) Vikraman Arvind, N. V. Vinodchandran

The Kindest Cut: Minimum Message Length Segmentation Rohan A. Baxter, Jonathan J. Oliver

Transformations That Preserve Learnability Andris Ambainis, Rusins Freivalds

Vacillatory and BC Learning on Noisy Data John Case, Sanjay Jain, Frank Stephan