— Probabilistic models are widely used to analyze embedded, networked, and more recently biological systems. Existing numerical analysis techniques are limited to finitestate mo...
—In online social networks (OSNs), user connections can be represented as a network. The network formed has distinct properties that distinguish it from other network topologies....
Ankush Garg, Prantik Bhattacharyya, Charles U. Mar...
The way of propagating and control of stochastic signals through Universal Learning Networks (ULNs) and its applications are proposed. ULNs have been already developed to form a s...
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
William K. Coulter, Cristopher J. Hillar, Guy Isle...
The networking and distributed systems communities have recently explored a variety of new network architectures, both for applicationlevel overlay networks, and as prototypes for...
Boon Thau Loo, Tyson Condie, Minos N. Garofalakis,...