Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
—We investigate the design of a clean-slate control and nt plane for data networks using the abstraction of 4D architecture, utilizing and extending 4D’s concept of logically c...
In this paper we show that complex (scale-free) network topologies naturally emerge from hyperbolic metric spaces. The hyperbolic geometry can be used to facilitate maximally efï¬...
Fragkiskos Papadopoulos, Dmitri V. Krioukov, Mari&...
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Abstract—In this paper, randomized distributed spacefrequency coding (R-DSFC) scheme is proposed for decentralized wireless relay networks. We consider relay-assisted ARQ to over...