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TNN
2008
138views more  TNN 2008»
13 years 7 months ago
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Zhenzhen Liu, Itamar Elhanany
TSMC
2008
94views more  TSMC 2008»
13 years 7 months ago
Queuing Network Modeling of a Real-Time Psychophysiological Index of Mental Workload - P300 in Event-Related Potential (ERP)
Modeling and predicting of mental workload are among the most important issues in studying human performance in complex systems. Ample research has shown that the amplitude of the ...
Changxu Wu, Yili Liu, C. M. Quinn-Walsh
ICANNGA
2009
Springer
145views Algorithms» more  ICANNGA 2009»
14 years 2 months ago
Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators
We propose a generalized model with configurable discretizer actuators as a solution to the problem of the discretization of massive numerical datasets. Our solution is based on a ...
Isaac Olusegun Osunmakinde, Antoine B. Bagula
ICC
2007
IEEE
144views Communications» more  ICC 2007»
14 years 2 months ago
Buffer Occupancy-Based CAC in Converged IP and Broadcasting Networks
— This paper introduces a buffer occupancy -based admission control mechanism aimed to counter link congestion while fairly sharing the bandwidth in converged IP and broadcasting...
Yassine Hadjadj Aoul, Abdelhamid Nafaa, Ahmed Meha...
IPPS
2007
IEEE
14 years 2 months ago
Biomolecular Path Sampling Enabled by Processing in Network Storage
Computationally complex and data intensive atomic scale biomolecular simulation is enabled via Processing in Network Storage (PINS): a novel distributed system framework to overco...
Paul Brenner, Justin M. Wozniak, Douglas Thain, Aa...