1990 LearningLogicalDefinitionsfromR

• (Quinlan, 1990) ⇒ J. R. Quinlan. (1990). “Learning Logical Definitions from Relations.” In: Machine Learning Journal, 5(3). doi:10.1023/A:1022699322624

Subject Headings: FOIL Algorithm

Cited By

• http://scholar.google.com/scholar?q=%22Learning+Logical+Definitions+from+Relations%22+1990
• http://dl.acm.org/citation.cfm?id=97128.637817&preflayout=flat#citedby

Quotes

Author Keywords

• Induction; empirical learning; first-order rules; relational data

Abstract

This paper describes FOIL, a system that learns Horn clauses from data expressed as relations. FOIL is based on ideas that have proved effective in attribute-value learning systems, but extends them to a first-order formalism. This new system has been applied successfully to several tasks taken from the machine learning literature.

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References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
1990 LearningLogicalDefinitionsfromR	J. Ross Quinlan			Learning Logical Definitions from Relations				10.1023/A:1022699322624		1990