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UAI
2003
15 years 8 months ago
Learning Continuous Time Bayesian Networks
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
Uri Nodelman, Christian R. Shelton, Daphne Koller
AUTOMATICA
2008
75views more  AUTOMATICA 2008»
15 years 6 months ago
Probabilistic performance of state estimation across a lossy network
We consider a discrete time state estimation problem over a packet-based network. In each discrete time step, a measurement packet is sent across a lossy network to an estimator u...
Michael Epstein, Ling Shi, Abhishek Tiwari, Richar...
CORR
2010
Springer
183views Education» more  CORR 2010»
15 years 6 months ago
Forming the COUNCIL Based Clusters in Securing Wireless Ad Hoc Networks
-- In cluster-based routing protocol (CBRP), two-level hierarchical structure is successfully used to reduce over-flooding in wireless ad hoc networks. As it is vulnerable to a sin...
Alok Ojha, Hongmei Deng, Dharma P. Agrawal, Sugata...
CORR
2008
Springer
151views Education» more  CORR 2008»
15 years 6 months ago
Identifying 'Hidden' Communities of Practice within Electronic Networks: Some Preliminary Premises
This paper examines the possibility of discovering 'hidden' (potential) Communities of Practice (CoPs) inside electronic networks, and then using this knowledge to nurtu...
Richard Ribeiro, Chris Kimble
CORR
2006
Springer
121views Education» more  CORR 2006»
15 years 6 months ago
On Performance of Event-to-Sink Transport in Transmit-Only Sensor Networks
We consider a hybrid wireless sensor network with regular and transmit-only sensors. The transmit-only sensors do not have receiver circuit, hence are cheaper and less energy consu...
Bartlomiej Blaszczyszyn, Bozidar Radunovic