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Generating Declarative Language Bias for Top-Down ILP Systems
S. Kramer.
Technical Report OFAI-TR-98-05, Austrian Research Institute for Artificial
Intelligence, Vienna, 1998. More behind this link.
Abstract
Many of today's algorithms for Inductive Logic Programming (ILP) put a heavy
burden and responsibility on the user, because their declarative bias have to
be defined in a rather low-level fashion. To address this issue, we developed
a method for generating declarative language bias for top-down ILP systems
from high-level declarations. The key feature of our approach is the
distinction between a user level and an expert level of language bias
declarations. The expert provides abstract meta-declarations, and the user
declares the relationship between the meta-level and the given database to
obtain a low-level declarative language bias. The suggested languages allow
for compact and abstract specifications of the declarative language bias for
top-down ILP systems using schemata. We verified several properties of the
translation algorithm that generates schemata, and applied it successfully to
a few chemical domains. As a consequence, we propose to use a two-level
approach to generate declarative language bias.
BibTeX entry.
Other publications
S Kramer,
stefan@ai.univie.ac.at. Last modified on Wednesday 9 April 2003 at 18:31. © 2003 ILPnet2