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ILP
2007
Springer
14 years 1 months ago
Using Bayesian Networks to Direct Stochastic Search in Inductive Logic Programming
Stochastically searching the space of candidate clauses is an appealing way to scale up ILP to large datasets. We address an approach that uses a Bayesian network model to adaptive...
Louis Oliphant, Jude W. Shavlik
ILP
2004
Springer
14 years 21 days ago
Macro-Operators Revisited in Inductive Logic Programming
For the last ten years a lot of work has been devoted to propositionalization techniques in relational learning. These techniques change the representation of relational problems t...
Érick Alphonse
ILP
2004
Springer
14 years 21 days ago
On Avoiding Redundancy in Inductive Logic Programming
ILP systems induce first-order clausal theories performing a search through very large hypotheses spaces containing redundant hypotheses. The generation of redundant hypotheses ma...
Nuno A. Fonseca, Vítor Santos Costa, Fernan...
KR
2004
Springer
14 years 21 days ago
Condensed Representations for Inductive Logic Programming
When mining frequent Datalog queries, many queries will be equivalent in the light of an implicit or explicit background knowledge. To alleviate the problem, we introduce various t...
Luc De Raedt, Jan Ramon
DIS
1998
Springer
13 years 11 months ago
Biochemical Knowledge Discovery Using Inductive Logic Programming
Stephen Muggleton, Ashwin Srinivasan, Ross D. King...