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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 6 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 11 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 6 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 6 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 3 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