This paper presents a new mathematical approach to modeling EM wave coupling noise so that it can be easily integrated into chip-level noise analysis tools. The new method employs...
Wavelet neural networks (WNN) have recently attracted great interest, because of their advantages over radial basis function networks (RBFN) as they are universal approximators bu...
In this paper we study a Monte Carlo simulation based approach to stochastic discrete optimization problems. The basic idea of such methods is that a random sample is generated and...
Anton J. Kleywegt, Alexander Shapiro, Tito Homem-d...
In this paper, we develop a low-complexity message passing algorithm for joint support and signal recovery of approximately sparse signals. The problem of recovery of strictly spa...
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...