This book constitutes the strictly refereed post-workshop proceedings of the 6th International Workshop on Inductive Logic Programming, ILP-96, held in Stockholm, Sweden, in August 1996.
The 21 full papers were carefully reviewed and selected for inclusion in the book in revised version. Also included is the invited contribution "Inductive logic programming for natural language processing" by Raymond J. Mooney. Among the topics covered are natural language learning, drug design, NMR and ECG analysis, glaucoma diagnosis, efficiency measures for implementations and database interaction, program synthesis, proof encoding and learning in the absence of negative data, and least generalizations under implication ordering.
Author(s): Raymond J. Mooney (auth.), Stephen Muggleton (eds.)
Series: Lecture Notes in Computer Science 1314 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1997
Language: English
Pages: 402
Tags: Artificial Intelligence (incl. Robotics); Programming Techniques
Inductive logic programming for natural language processing....Pages 1-22
An initial experiment into stereochemistry-based drug design using inductive logic programming....Pages 23-40
Applying ILP to diterpene structure elucidation from 13 C NMR spectra....Pages 41-54
Analysis and prediction of piano performances using inductive logic programming....Pages 55-71
Noise detection and elimination applied to noise handling in a KRK chess endgame....Pages 72-88
Feature construction with inductive logic programming: A study of quantitative predictions of biological activity by structural attributes....Pages 89-104
Polynomial-time learning in logic programming and constraint logic programming....Pages 105-126
Analyzing and learning ECG waveforms....Pages 127-145
Learning rules that classify ocular fundus images for glaucoma diagnosis....Pages 146-159
A new design and implementation of progol by bottom-up computation....Pages 161-174
Inductive logic program synthesis with DIALOGS....Pages 175-198
Relational knowledge discovery in databases....Pages 199-211
Efficient θ-subsumption based on graph algorithms....Pages 212-228
Integrity constraints in ILP using a Monte Carlo approach....Pages 229-244
Restructuring chain datalog programs....Pages 245-264
Top-down induction of logic programs from incomplete samples....Pages 265-282
Least generalizations under implication....Pages 283-298
Efficient proof encoding....Pages 299-314
Learning Logic programs with random classification noise....Pages 315-336
Handling Quantifiers in ILP....Pages 337-357
Learning from positive data....Pages 358-376
λ-Subsumption and its application to learning from positive-only examples....Pages 377-396
