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122
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CJ
2010
14 years 10 months ago
2010
an be used to abstract away from the physical reality by describing it as components that exist in discrete states with probabilistically invoked actions that change the state. The...
130
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JMLR
2010
14 years 7 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
126
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TON
2010
14 years 7 months ago
2010
A large number of network applications today allow several users to interact together using the many-to-many service mode. In many-to-many communication, also referred to as group ...
108
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CISS
2010
IEEE
14 years 4 months ago
2010
IEEE
—We consider broadcasting from a single source to multiple destinations in a linear wireless erasure network with feedback. The problem is to find the maximum stable throughput ...
125
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CDC
2010
IEEE
14 years 7 months ago
2010
IEEE
Abstract-- We study the convergence rate of average consensus algorithms in networks with stochastic communication failures. We show how the system dynamics can be modeled by a dis...