We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...
The purpose of this paper is twofold. An immediate practical use of the presented algorithm is its applicability to the parametric solution of underdetermined linear ordinary diï¬...
There is an interesting class of ICNs, which includes the star graph and the n-way shuffle, for which the network diameter is sub-logarithmic in the network size. This paper prese...
Michael A. Palis, Sanguthevar Rajasekaran, David S...
Memory expansions are classical means to extract parallelism from imperative programs. However, for dynamic control programs with general memory accesses, such transformations eit...
Denis Barthou, Albert Cohen, Jean-Francois Collard
—The implementation of distributed network utility maximization (NUM) algorithms hinges heavily on information feedback through message passing among network elements. In practic...