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» Minimization of Error Functionals over Perceptron Networks
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CDC
2008
IEEE
142views Control Systems» more  CDC 2008»
15 years 4 months ago
Asynchronous distributed optimization with minimal communication
— We consider problems where multiple agents must cooperate to control their individual state so as to optimize a common objective while communicating with each other to exchange...
Minyi Zhong, Christos G. Cassandras
ML
2007
ACM
192views Machine Learning» more  ML 2007»
14 years 9 months ago
Annealing stochastic approximation Monte Carlo algorithm for neural network training
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
Faming Liang
ICC
2007
IEEE
172views Communications» more  ICC 2007»
15 years 3 months ago
Performance Analysis of Cooperative Diversity Using Equal Gain Combining (EGC) Technique Over Rayleigh Fading Channels
Abstract— Cooperative diversiy is a promising technology for future wireless networks. In this paper, based on the moment generating function (MGF), we derive exact closed-form e...
Salama Ikki, Mohamed H. Ahmed
WCNC
2008
IEEE
15 years 4 months ago
Distributed Space-Frequency Coding over Amplify-and-Forward Relay Channels
Abstract— In this paper, the design of distributed spacefrequency codes (DSFCs) for wireless relay networks employing the amplify-and-forward (AAF) protocol is considered. The te...
Karim G. Seddik, K. J. Ray Liu
ICASSP
2011
IEEE
14 years 1 months ago
Empirical divergence maximization for quantizer design: An analysis of approximation error
Empirical divergence maximization is an estimation method similar to empirical risk minimization whereby the Kullback-Leibler divergence is maximized over a class of functions tha...
Michael A. Lexa