51 search results - page 1 / 11 » Convergence rates in monotone separable stochastic networks |
QUESTA
2006
13 years 5 months ago
2006
CDC
2010
IEEE
13 years 10 days ago
2010
IEEE
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
CDC
2010
IEEE
13 years 9 days ago
2010
IEEE
Abstract-- We study the convergence rate of average consensus algorithms in networks with stochastic communication failures. We show how the system dynamics can be modeled by a dis...
ISNN
2007
Springer
13 years 11 months ago
2007
Springer
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
CDC
2008
IEEE
13 years 11 months ago
2008
IEEE
— This paper studies consensus seeking over noisy networks with time-varying noise statistics. Stochastic approximation type algorithms can ensure consensus in mean square and wi...