There is a large literature on the rate of convergence problem for general unconstrained stochastic approximations. Typically, one centers the iterate n about the limit point then...
Abstract. The recovery of the mixture of an N-dimensional signal generated by N independent processes is a well studied problem (see e.g. [1,10]) and robust algorithms that solve t...
Harold W. Gutch, Takanori Maehara, Fabian J. Theis
—Network Tomography (or network monitoring) uses end-to-end path-level measurements to characterize the network, such as topology estimation and failure detection. This work prov...
Biomodel engineering is the science of designing, constructing and analyzing computational models of biological systems. It forms a systematic and powerful extension of earlier mat...
Rainer Breitling, Robin Donaldson, David R. Gilber...
Conficker [26] is the most recent widespread, well-known worm/bot. According to several reports [16, 28], it has infected about 7 million to 15 million hosts and the victims are s...