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» Monotonicity in Bayesian Networks
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153
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ECAI
2010
Springer
15 years 4 months ago
Using Bayesian Networks in an Industrial Setting: Making Printing Systems Adaptive
Abstract. Control engineering is a field of major industrial importance as it offers principles for engineering controllable physical devices, such as cell phones, television sets,...
Arjen Hommersom, Peter J. F. Lucas
127
Voted
APIN
2008
110views more  APIN 2008»
15 years 3 months ago
Explaining inferences in Bayesian networks
While Bayesian network (BN) can achieve accurate predictions even with erroneous or incomplete evidence, explaining the inferences remains a challenge. Existing approaches fall sh...
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
141
Voted
JSAC
2008
114views more  JSAC 2008»
15 years 3 months ago
Design of an Optimal Bayesian Incentive Compatible Broadcast Protocol for Ad Hoc Networks with Rational Nodes
Nodes in an ad hoc wireless network incur certain costs for forwarding packets since packet forwarding consumes the resources of the nodes. If the nodes are rational, free packet f...
N. Ram Suri, Y. Narahari
115
Voted
IJAR
2007
55views more  IJAR 2007»
15 years 3 months ago
Theoretical analysis and practical insights on importance sampling in Bayesian networks
The AIS-BN algorithm [2] is a successful importance sampling-based algorithm for Bayesian networks that relies on two heuristic methods to obtain an initial importance function: -...
Changhe Yuan, Marek J. Druzdzel
130
Voted
IJAR
2010
113views more  IJAR 2010»
15 years 2 months ago
A geometric view on learning Bayesian network structures
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...
Milan Studený, Jirí Vomlel, Raymond ...