Inductive Logic Programming 13th International Conference, ILP 2003, Szeged, Hungary, September 29 - October 1, 2003, Proceedings

Bibliographic Details
Other Authors: Horváth, Tamas (Editor), Yamamoto, Akihiro (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2003, 2003
Edition:1st ed. 2003
Series:Lecture Notes in Artificial Intelligence
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • Invited Papers
  • A Personal View of How Best to Apply ILP
  • Agents that Reason and Learn
  • Research Papers
  • Mining Model Trees: A Multi-relational Approach
  • Complexity Parameters for First-Order Classes
  • A Multi-relational Decision Tree Learning Algorithm – Implementation and Experiments
  • Applying Theory Revision to the Design of Distributed Databases
  • Disjunctive Learning with a Soft-Clustering Method
  • ILP for Mathematical Discovery
  • An Exhaustive Matching Procedure for the Improvement of Learning Efficiency
  • Efficient Data Structures for Inductive Logic Programming
  • Graph Kernels and Gaussian Processes for Relational Reinforcement Learning
  • On Condensation of a Clause
  • A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting
  • Comparative Evaluation of Approaches to Propositionalization
  • Ideal Refinement of Descriptions in -Log
  • Which First-Order Logic Clauses Can Be Learned Using Genetic Algorithms?
  • Improved Distances for Structured Data
  • Induction of Enzyme Classes from Biological Databases
  • Estimating Maximum Likelihood Parameters for Stochastic Context-Free Graph Grammars
  • Induction of the Effects of Actions by Monotonic Methods
  • Hybrid Abductive Inductive Learning: A Generalisation of Progol
  • Query Optimization in Inductive Logic Programming by Reordering Literals
  • Efficient Learning of Unlabeled Term Trees with Contractible Variables from Positive Data
  • Relational IBL in Music with a New Structural Similarity Measure
  • An Effective Grammar-Based Compression Algorithm for Tree Structured Data