Inductive logic programming

Known as: ILP 
Inductive logic programming (ILP) is a subfield of machine learning which uses logic programming as a uniform representation for examples, background… (More)
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Highly Cited
2008
Highly Cited
2008
Introducing a new hobby for other people may inspire them to join with you. Reading, as one of mutual hobby, is considered as the… (More)
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Highly Cited
2001
Highly Cited
2001
In this paper, we explored a learning approach which combines di erent learning methods in inductive logic programming (ILP) to… (More)
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Highly Cited
1999
Highly Cited
1999
Probabilistic models provide a sound and coherent foundation for dealing with the noise and uncertainty encountered in most… (More)
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Highly Cited
1999
Highly Cited
1999
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive… (More)
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Highly Cited
1998
Highly Cited
1998
This paper presents a case study of a machine-aided knowledge discovery process within the general area of drug design. Within… (More)
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Highly Cited
1996
Highly Cited
1996
This paper presents recent work using the CHILL parser acquisition system to automate the construction of a natural-language… (More)
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Highly Cited
1993
Highly Cited
1993
Spend your few moment to read a book even only few pages. Reading book is not obligation and force for everybody. When you don't… (More)
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Highly Cited
1993
Highly Cited
1993
Automating the construction of semantic grammars is a di cult and interesting problem for machine learning. This paper shows how… (More)
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Highly Cited
1991
Highly Cited
1991
A recent system, FOIL , constructs Horn clause programs from numerous examples. Computational efficiency is achieved by using… (More)
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1991
1991
A new research area, Inductive Logic Programming, is presently emerging. While inheriting various positive characteristics of the… (More)
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