Learning constraints through partial queries

Learning constraint networks is known to require a number of membership queries exponential in the number of variables. In this paper, we learn constraint networks by asking the user partial queries. That is, we ask the user to classify assignments to subsets of the variables as positive or negative...

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Vydané v:	Artificial intelligence Ročník 319; s. 103896
Hlavní autori:	Bessiere, Christian, Carbonnel, Clément, Dries, Anton, Hebrard, Emmanuel, Katsirelos, George, Lazaar, Nadjib, Narodytska, Nina, Quimper, Claude-Guy, Stergiou, Kostas, Tsouros, Dimosthenis C., Walsh, Toby
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.06.2023 Elsevier
Predmet:	Active learning Artificial Intelligence Computer Science Constraint acquisition Constraint programming Active learning Constraint programming Constraint acquisition
ISSN:	0004-3702, 1872-7921
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