Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 236,851,843 papers from all fields of science
Search
Sign In
Create Free Account
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…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
30 relations
Abductive logic programming
Action model learning
Artificial intelligence
Bayesian network
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
Engineering Trust Alignment: a First Approach
Andrew Koster
,
J. Sabater-Mir
,
Marco Schorlemmer
2010
Corpus ID: 16286305
In open multi-agent systems trust models are an important tool for agents to achieve effective interactions. However, in these…
Expand
2008
2008
Inductive logic programming for gene regulation prediction
Sebastian Fröhler
,
Stefan Kramer
Machine-mediated learning
2008
Corpus ID: 1144014
Abstract We present a systems biology application of ILP, where the goal is to predict the regulation of a gene under a certain…
Expand
2007
2007
Inductive Functional Logic Programming
J. Hernández-Orallo
,
M. Ramírez-Quintana
2007
Corpus ID: 17247005
A new framework for the Induction of Functional Logic Programs (IFLP) from facts is presented. This can be seen as an extension…
Expand
2007
2007
Graphs, Hypergraphs, and Inductive Logic Programming
H. Blockeel
,
Tijn Witsenburg
,
J. Kok
Mining and Learning with Graphs
2007
Corpus ID: 15353390
. There are many connections between graph mining and inductive logic programming (ILP), or more generally relational learning…
Expand
2005
2005
Fuzzy Inductive Logic Programming: Learning Fuzzy Rules with their Implication
M. Serrurier
,
T. Sudkamp
,
D. Dubois
,
H. Prade
The 14th IEEE International Conference on Fuzzy…
2005
Corpus ID: 1136712
Inductive logic programming (ILP) is a generic tool aiming at learning rules from relational databases. Introducing fuzzy sets…
Expand
2004
2004
Inductively Generated Pointcuts to Support Refactoring to Aspects
Tom Tourw
,
Andy Kellens
,
W. Vanderperren
,
F. Vannieuwenhuyse
2004
Corpus ID: 18764495
In this paper, we show that the basic pointcut languages offered by current aspect-oriented programming languages impact…
Expand
2002
2002
Parallel inductive logic programming for pharmacophore discovery
J. Graham
,
A. H. Kamal
2002
Corpus ID: 64108454
Inductive logic programming has attracted great interest within the machine learning, artificial intelligence, data mining and…
Expand
Review
2000
Review
2000
Inductive Logic Programming: From Logic of Discovery to Machine Learning
Hiroki Arimura
,
Akihiro Yamamoto
2000
Corpus ID: 16210696
Inductive Logic Programming (ILP) is a study of machine learning systems that use clausal theories in first-order logic as a…
Expand
1997
1997
Carcinogenesis Predictions Using Inductive Logic Programming
A. Srinivasan
,
R. King
,
S. Muggleton
,
M. Sternberg
1997
Corpus ID: 61979737
Obtaining accurate structural alerts for the causes of chemical cancers is a problem of great scientific and humanitarian value…
Expand
1997
1997
Using Inductive Logic Programming to Learn Rules that Identify Glaucomatous Eyes
F. Mizoguchi
,
H. Ohwada
,
Makiko Daidoji
,
S. Shirato
1997
Corpus ID: 59926821
This chapter examines the applicability and performance of Inductive Logic Programming (ILP) in learning classification rules for…
Expand