Horn approximations of empirical data
type: Item
instance of: scholarly article
title: Horn approximations of empirical data
zbMATH Open document ID: 1014.03514
DOI: 10.1016/0004-3702(94)00072-9
author: Michael Kearns
author: Bart Selman
author: Henry Kautz
published in: Artificial Intelligence
publication date: 2003-02-04T00:00:00Z
Mathematics Subject Classification ID: 03B70
Mathematics Subject Classification ID: 03B35
Mathematics Subject Classification ID: 68T27
zbMATH DE Number: 1863769
MaRDI profile type: Publication
full work available at URL: 0004-3702(94)00072-9
OpenAlex ID: W1971132311
cites work: Learning conjunctions of Horn clauses
cites work: On the Structure of Armstrong Relations for Functional Dependencies
cites work: Q3493231
cites work: Structure identification in relational data
cites work: Linear-time algorithms for testing the satisfiability of propositional horn formulae
cites work: On sentences which are true of direct unions of algebras
cites work: Q4023862
cites work: Q5633670
cites work: The decision problem for some classes of sentences without quantifiers
cites work: Q3248911
cites work: Knowledge compilation and theory approximation
cites work: Support set selection for abductive and default reasoning
description: scientific article; zbMATH DE number 1863769