Optimal Value of Information in Graphical Models

Many real-world decision making tasks require us to choose among several expensive observations. In a sensor network, for example, it is important to select the subset of sensors that is expected to provide the strongest reduction in uncertainty. In medical decision making tasks, one needs to select...

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Veröffentlicht in:	The Journal of artificial intelligence research 2009-01, Vol.35, p.557-591
Hauptverfasser:	Krause, A., Guestrin, C.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Decision making Decision theory Markov chains Optimization Polytrees Sensors
Online-Zugang:	Volltext
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