Article in International Conference Proceedings Book
Date
2004
Title
On avoiding redundancy in inductive logic programming
Type
Article in International Conference Proceedings Book
Year
2004
Authors
Nuno Fonseca
(Author)
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Vítor S. Costa
(Author)
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Fernando Silva
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Abstract (EN):
ILP systems induce rst-order clausal theories performing a
search through very large hypotheses spaces containing redundant hypotheses.
The generation of redundant hypotheses may prevent the systems
from nding good models and increases the time to induce them.
In this paper we propose a classication of hypotheses redundancy and
show how expert knowledge can be provided to an ILP system to avoid
it. Experimental results show that the number of hypotheses generated
and execution time are reduced when expert knowledge is used to avoid
redundancy.