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INFOCOM
2007
IEEE
15 years 10 months ago
The Impact of Stochastic Noisy Feedback on Distributed Network Utility Maximization
—The implementation of distributed network utility maximization (NUM) algorithms hinges heavily on information feedback through message passing among network elements. In practic...
Junshan Zhang, Dong Zheng, Mung Chiang
NECO
2008
170views more  NECO 2008»
15 years 4 months ago
Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
Deep Belief Networks (DBN) are generative neural network models with many layers of hidden explanatory factors, recently introduced by Hinton et al., along with a greedy layer-wis...
Nicolas Le Roux, Yoshua Bengio
VTC
2010
IEEE
174views Communications» more  VTC 2010»
15 years 2 months ago
Multiple-Relay Aided Distributed Turbo Coding Assisted Differential Unitary Space-Time Spreading for Asynchronous Cooperative Ne
—This paper proposes a cooperative space-time coding (STC) protocol, amalgamating the concepts of asynchronous cooperation, non-coherent detection as well as Distributed Turbo Co...
Shinya Sugiura, Soon Xin Ng, Lingkun Kong, Sheng C...
IJCNN
2007
IEEE
15 years 10 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...
TON
2002
125views more  TON 2002»
15 years 4 months ago
Multicast-based inference of network-internal delay distributions
Packet delay greatly influences the overall performance of network applications. It is therefore important to identify causes and location of delay performance degradation within ...
Francesco Lo Presti, Nick G. Duffield, Joseph Horo...