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» Continuous Capacities on Continuous State Spaces
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JEC
2006
90views more  JEC 2006»
13 years 8 months ago
The impact of traffic aggregation on the memory performance of networking applications
The trend of the networking processing is to increase the intelligence of the routers (i.e. security capacities). This means that there is an increment in the workload generated p...
Javier Verdú, Jorge García-Vidal, Ma...
TIT
2011
98views more  TIT 2011»
13 years 3 months ago
Information Rates for Multiantenna Systems With Unknown Fading
—This work first presents a general technique to compute tight upper and lower bounds on the information rate of a multiuser Rayleigh fading channel with no Channel State Inform...
Krishnan Padmanabhan, Sundeep Venkatraman, Oliver ...
CORR
2010
Springer
122views Education» more  CORR 2010»
13 years 3 months ago
Concavity of Mutual Information Rate for Input-Restricted Finite-State Memoryless Channels at High SNR
We consider a finite-state memoryless channel with i.i.d. channel state and the input Markov process supported on a mixing finite-type constraint. We discuss the asymptotic behavio...
Guangyue Han, Brian H. Marcus
ENTCS
2006
151views more  ENTCS 2006»
13 years 8 months ago
Stochastic Simulation Methods Applied to a Secure Electronic Voting Model
We demonstrate a novel simulation technique for analysing large stochastic process algebra models, applying this to a secure electronic voting system example. By approximating the...
Jeremy T. Bradley, Stephen T. Gilmore
AIIDE
2006
13 years 10 months ago
The Self Organization of Context for Learning in MultiAgent Games
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Christopher D. White, Dave Brogan