AbstractRecent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of geno...
A general test statistic for detecting change-points in multidimensional stochastic processes with unknown parameters is proposed. The test statistic is specialized to the case of...
Abstract We study the influence of spatially correlated noise on the transient dynamics of a recurrent network with Mexican-Hat type connectivity. We derive the closed form of the ...
—Gossip protocols are designed to operate in very large, decentralised networks. A node in such a network bases its decision to interact (gossip) with another node on its partial...
Rena Bakhshi, Lucia Cloth, Wan Fokkink, Boudewijn ...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...