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AIMSA
2000
Springer
14 years 3 months ago
Least Generalization under Relative Implication
Inductive Logic Programming (ILP) deals with inducing clausal theories from examples basically through generalization or specialization. The specialization and generalization oper...
Svetla Boytcheva
IPPS
2000
IEEE
14 years 3 months ago
The Parallelization of a Knowledge Discovery System with Hypergraph Representation
Abstract. Knowledge discovery is a time-consuming and space intensive endeavor. By distributing such an endeavor, we can diminish both time and space. System INDEDpronounced indee...
Jennifer Seitzer, James P. Buckley, Yi Pan, Lee A....
ILP
2001
Springer
14 years 3 months ago
Induction of Stable Models
In the line of previous work by S. Muggleton and C. Sakama, we extend the logical characterization of inductive logic programming, to normal logic programs under the stable models ...
Ramón P. Otero
GECCO
2003
Springer
156views Optimization» more  GECCO 2003»
14 years 4 months ago
Facts and Fallacies in Using Genetic Algorithms for Learning Clauses in First-Order Logic
Over the last few years, a few approaches have been proposed aiming to combine genetic and evolutionary computation (GECCO) with inductive logic programming (ILP). The underlying r...
Flaviu Adrian Marginean
ILP
2004
Springer
14 years 4 months ago
Learning Ensembles of First-Order Clauses for Recall-Precision Curves: A Case Study in Biomedical Information Extraction
Many domains in the field of Inductive Logic Programming (ILP) involve highly unbalanced data. Our research has focused on Information Extraction (IE), a task that typically invol...
Mark Goadrich, Louis Oliphant, Jude W. Shavlik
IEAAIE
2004
Springer
14 years 4 months ago
An Algorithm for Incremental Mode Induction
Learning systems have been devised as a way of overcoming the knowledge acquisition bottleneck in the development of knowledge-based systems. They often cast learning to a search p...
Nicola Di Mauro, Floriana Esposito, Stefano Ferill...
ECAI
2004
Springer
14 years 4 months ago
Combining Multiple Answers for Learning Mathematical Structures from Visual Observation
Learning general truths from the observation of simple domains and, further, learning how to use this knowledge are essential capabilities for any intelligent agent to understand ...
Paulo Santos, Derek R. Magee, Anthony G. Cohn, Dav...
ILP
2005
Springer
14 years 5 months ago
A Framework for Set-Oriented Computation in Inductive Logic Programming and Its Application in Generalizing Inverse Entailment
We propose a new approach to Inductive Logic Programming that systematically exploits caching and offers a number of advantages over current systems. It avoids redundant computati...
Héctor Corrada Bravo, David Page, Raghu Ram...
ILP
2005
Springer
14 years 5 months ago
Strategies to Parallelize ILP Systems
Abstract. It is well known by Inductive Logic Programming (ILP) practioners that ILP systems usually take a long time to find valuable models (theories). The problem is specially ...
Nuno A. Fonseca, Fernando M. A. Silva, Rui Camacho
ECML
2005
Springer
14 years 5 months ago
Mode Directed Path Finding
Abstract. Learning from multi-relational domains has gained increasing attention over the past few years. Inductive logic programming (ILP) systems, which often rely on hill-climbi...
Irene M. Ong, Inês de Castro Dutra, David Pa...