Inductive Logic Programming: 10th International Conference, ILP 2000 London, UK, July 24–27, 2000 Proceedings
Author: James Cussens, Alan Frisch
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-67795-6
DOI: 10.1007/3-540-44960-4
Table of Contents:
- ILP: Just Do It
- A New Algorithm for Learning Range Restricted Horn Expressions
- A Refinement Operator for Description Logics
- Executing Query Packs in ILP
- A Logical Database Mining Query Language
- Induction of Recursive Theories in the Normal ILP Setting: Issues and Solutions
- Extending K-Means Clustering to First-Order Representations
- Theory Completion Using Inverse Entailment
- Solving Selection Problems Using Preference Relation Based on Bayesian Learning
- Concurrent Execution of Optimal Hypothesis Search for Inverse Entailment
- Using ILP to Improve Planning in Hierarchical Reinforcement Learning
- Towards Learning in CARIN-ALN
- Inverse Entailment in Nonmonotonic Logic Programs
- A Note on Two Simple Transformations for Improving the Efficiency of an ILP System
- Searching the Subsumption Lattice by a Genetic Algorithm
- New Conditions for the Existence of Least Generalizations under Relative Subsumption
Includes bibliographical references and index
ILP: just do it / David Page -- A new algorithm for learning range restricted horn expressions / Marta Arias and Roni Khardon -- A refinement operator for description logics / Liviu Badea and Shan-Hwei Nienhuys-Cheng -- Executing query packs in ILP / Hendrik Blockeel [and others] -- Induction of recursive theories in the normal ILP setting / Floriana Esposito, Donato Malerba, and Francesca A. Lisi -- Extending K-means clustering to first-order representations / Mathias Kirsten and Stefan Wrobel -- Theory completion using inverse entailment / Stephen H. Muggleton and Christopher H. Bryant -- Solving selection problems using preference relation based on bayesian learning / Tomofumi Nakano and Nobuhiro Inuzuka -- Concurrent execution of optimal hypothesis search for inverse entailment / Hayato Ohwada, Hiroyuki Nishiyama, and Fumio Mizoguchi -- Using ILP to improve planning in hierarchical reinforcement learning / Mark Reid and Malcolm Ryan -- Towards learning in CARIN- / Celine Rouveirol and Veronique Ventos -- Inverse entailment in nonmonotonic logic programs / Chiaki Sakama -- A note on two simple transformations for improving the efficiency of an ILP system / Vt̕or Santos Costa, Ashwin Srinivasan, and Rui Camacho -- Searching the subsumption lattice by a genetic algorithm / Alireza Tamaddoni-Nezhad and Stephen H. Muggleton -- New conditions for the existence of least generalizations under relative subsumption / Akihiro Yamamoto
