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» Bayesian Detection in Bounded Height Tree Networks
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DCC
2007
IEEE
14 years 4 months ago
Bayesian Detection in Bounded Height Tree Networks
We study the detection performance of large scale sensor networks, configured as trees with bounded height, in which information is progressively compressed as it moves towards th...
Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win
TSP
2008
76views more  TSP 2008»
13 years 4 months ago
On the Impact of Node Failures and Unreliable Communications in Dense Sensor Networks
We consider the problem of decentralized detection in failure-prone tree networks with bounded height. Specifically, we study and contrast the impact on the detection performance o...
Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win
CORR
2008
Springer
136views Education» more  CORR 2008»
13 years 4 months ago
Data Fusion Trees for Detection: Does Architecture Matter?
We consider the problem of decentralized detection in a network consisting of a large number of nodes arranged as a tree of bounded height, under the assumption of conditionally in...
Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win
UAI
2008
13 years 6 months ago
Efficient Inference in Persistent Dynamic Bayesian Networks
Numerous temporal inference tasks such as fault monitoring and anomaly detection exhibit a persistence property: for example, if something breaks, it stays broken until an interve...
Tomás Singliar, Denver Dash
NIPS
2008
13 years 6 months ago
Learning Bounded Treewidth Bayesian Networks
With the increased availability of data for complex domains, it is desirable to learn Bayesian network structures that are sufficiently expressive for generalization while at the ...
Gal Elidan, Stephen Gould