— 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...
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
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...
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...
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...