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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Veröffentlicht in:	Artificial intelligence Jg. 319; S. 103896
Hauptverfasser:	Bessiere, Christian, Carbonnel, Clément, Dries, Anton, Hebrard, Emmanuel, Katsirelos, George, Lazaar, Nadjib, Narodytska, Nina, Quimper, Claude-Guy, Stergiou, Kostas, Tsouros, Dimosthenis C., Walsh, Toby
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.06.2023 Elsevier
Schlagworte:	Active learning Artificial Intelligence Computer Science Constraint acquisition Constraint programming Active learning Constraint programming Constraint acquisition
ISSN:	0004-3702, 1872-7921
Online-Zugang:	Volltext
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