In this work a new adaptive fast variational sparse Bayesian learning (V-SBL) algorithm is proposed that is a variational counterpart of the fast marginal likelihood maximization ...
Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulk...
Two proportionate af ne projection sign algorithms (APSAs) are proposed for system identi cation applications, such as network echo cancellation (NEC), where the impulse response ...
—In this paper we propose VIRO — a novel, virtual identifier (Id) routing paradigm for future networks. The objective is three-fold. First, VIRO directly addresses the challen...
—Gaussian belief propagation is an iterative algorithm for computing the mean of a multivariate Gaussian distribution. Equivalently, the min-sum algorithm can be used to compute ...
We provide a design of a control and management plane for data networks using the abstraction of 4D architecture, utilizing and extending 4D’s concept of a logically centralized...