Inductive Logic Programming 6th International Workshop, ILP-96, Stockholm, Sweden, August 26-28, 1996, Selected Papers

Inductive Logic Programming 6th International Workshop, ILP-96, Stockholm, Sweden, August 26-28, 1996, Selected Papers / edited by Stephen Muggleton.

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 includ...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Muggleton, Stephen (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1997.
Edition:1st ed. 1997.
Series:Lecture Notes in Artificial Intelligence ; 1314
Springer eBook Collection.
Subjects:
Architecture, Computer.
Software engineering.
Artificial intelligence.
Computer programming.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Inductive logic programming for natural language processing
  • An initial experiment into stereochemistry-based drug design using inductive logic programming
  • Applying ILP to diterpene structure elucidation from 13C NMR spectra
  • Analysis and prediction of piano performances using inductive logic programming
  • Noise detection and elimination applied to noise handling in a KRK chess endgame
  • Feature construction with inductive logic programming: A study of quantitative predictions of biological activity by structural attributes
  • Polynomial-time learning in logic programming and constraint logic programming
  • Analyzing and learning ECG waveforms
  • Learning rules that classify ocular fundus images for glaucoma diagnosis
  • A new design and implementation of progol by bottom-up computation
  • Inductive logic program synthesis with DIALOGS
  • Relational knowledge discovery in databases
  • Efficient ?-subsumption based on graph algorithms
  • Integrity constraints in ILP using a Monte Carlo approach
  • Restructuring chain datalog programs
  • Top-down induction of logic programs from incomplete samples
  • Least generalizations under implication
  • Efficient proof encoding
  • Learning Logic programs with random classification noise
  • Handling Quantifiers in ILP
  • Learning from positive data
  • ?-Subsumption and its application to learning from positive-only examples.

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