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» Optimal decision network with distributed representation
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CL
2000
Springer
13 years 9 months ago
Logic, Knowledge Representation, and Bayesian Decision Theory
In this paper I give a brief overview of recent work on uncertainty inAI, and relate it to logical representations. Bayesian decision theory and logic are both normative frameworks...
David Poole
INFOCOM
2006
IEEE
13 years 11 months ago
Optimal Distributed Detection in Clustered Wireless Sensor Networks: The Weighted Median
− In a clustered, multi-hop sensor network, a large number of inexpensive, geographically-distributed sensor nodes each use their observations of the environment to make local ha...
Qingjiang Tian, Edward J. Coyle
CP
1998
Springer
13 years 9 months ago
Modelling CSP Solution Algorithms with Petri Decision Nets
The constraint paradigm provides powerful concepts to represent and solve different kinds of planning problems, e. g. factory scheduling. Factory scheduling is a demanding optimiz...
Stephan Pontow
AMC
2008
301views more  AMC 2008»
13 years 5 months ago
Analytic hierarchy process to assess and optimize distribution network
Effective supply chain distribution network design needs to consider various performance dimensions and product characteristics. Recently, researchers have begun to realize that t...
Mithun J. Sharma, Ilkyeong Moon, Hyerim Bae
SARA
2007
Springer
13 years 11 months ago
Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
Anders Jonsson, Andrew G. Barto