Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2009
2009
Static analysis can be used to determine safe estimates of Worst Case Execution Time. However, overestimation of the number of… 
2006
2006
Three-dimensional models, or pharmacophores, describing Euclidean constraints on the location on small molecules of functional… 
Highly Cited
2005
Highly Cited
2005
In this paper we explore a topic which is at the intersection of two areas of Machine Learning: namely Support Vector Machines… 
2004
2004
The subject of this paper is the transformation from pre-AOP legacy software to aspect-oriented software. To factor out… 
2002
2002
Machine discovery systems help humans to find natural laws from collections of experimentaUy collected data. Most of the laws… 
2002
2002
Dynamic composition of services from components at runtime can help to provide flexible service infrastructures, but requires… 
Review
2001
Review
2001
Learning is a crucial ability of intelligent agents. Rather than presenting a complete literature review, we focus in this paper… 
1997
1997
The bounded ILP-consistency problem for function-free Horn clauses is described as follows. Given at setE+ andE− of function-free…