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ILP
2004
Springer
10 years 8 months ago
Learning an Approximation to Inductive Logic Programming Clause Evaluation
One challenge faced by many Inductive Logic Programming (ILP) systems is poor scalability to problems with large search spaces and many examples. Randomized search methods such as ...
Frank DiMaio, Jude W. Shavlik
GECCO
2003
Springer
156views Optimization» more  GECCO 2003»
10 years 8 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
ICTAI
2007
IEEE
10 years 9 months ago
ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...
Yunsong Guo, Bart Selman
KR
2004
Springer
10 years 8 months 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
2005
Springer
10 years 8 months ago
Support Vector Inductive Logic Programming
Abstract. In this paper we explore a topic which is at the intersection of two areas of Machine Learning: namely Support Vector Machines (SVMs) and Inductive Logic Programming (ILP...
Stephen Muggleton, Huma Lodhi, Ata Amini, Michael ...
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