Year: 2006
Type: conference-paper
Abstract: A novel and simple combination of inductive logic programming with kernel methods is presented.The kFOIL algorithm integrates the well-known inductive logic programming system FOIL with kernel methods.The feature space is constructed by leveraging FOIL search for a set of relevant clauses.The search is driven by the performance obtained by a support vector machine based on the resulting kernel.In this way, kFOIL implements a dynamic propositionalization approach.Both classification and regression tasks can be naturally handled.Experiments in applying kFOIL to well-known benchmarks in chemoinformatics show the promise of the approach.
Institutions: University of Freiburg, University of Florence
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: European Commission
OpenAlex ID: W1608154539