Inductive Logic Programming: 14th International Conference, ILP 2004, Porto, Portugal, September 6-8, 2004. Proceedings
Author: Rui Camacho, Ross King, Ashwin Srinivasan
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-22941-4
DOI: 10.1007/b10011
Table of Contents:
- Automated Synthesis of Data Analysis Programs: Learning in Logic
- At the Interface of Inductive Logic Programming and Statistics
- From Promising to Profitable Applications of ILP: A Case Study in Drug Discovery
- Systems Biology: A New Challenge for ILP
- Scaling Up ILP: Experiences with Extracting Relations from Biomedical Text
- Macro-Operators Revisited in Inductive Logic Programming
- Bottom-Up ILP Using Large Refinement Steps
- On the Effect of Caching in Recursive Theory Learning
- FOIL-D: Efficiently Scaling FOIL for Multi-relational Data Mining of Large Datasets
- Learning an Approximation to Inductive Logic Programming Clause Evaluation
- Learning Ensembles of First-Order Clauses for Recall-Precision Curves: A Case Study in Biomedical Information Extraction
- Automatic Induction of First-Order Logic Descriptors Type Domains from Observations
- On Avoiding Redundancy in Inductive Logic Programming
- Generalization Algorithms for Second-Order Terms
- Circumscription Policies for Induction
- Logical Markov Decision Programs and the Convergence of Logical TD(λ)
- Learning Goal Hierarchies from Structured Observations and Expert Annotations
- Efficient Evaluation of Candidate Hypotheses in
- An Efficient Algorithm for Reducing Clauses Based on Constraint Satisfaction Techniques
- Improving Rule Evaluation Using Multitask Learning
"14th International Conference on Inductive Logic Programming"--Preface
Includes bibliographical references and index
