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Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
nical Abstract Optimization is to find the "best" solution to a problem where the quality of a solution can be measured by a given criterion. Estimation of Distribution A...
Many large-scale distributed systems have been built with great complexity to run Internet services. Due to the heterogeneity and dynamics of complex systems, it is very difficult ...
We investigate tradeoffs of various basic complexity measures such as size, space and width. We show examples of formulas that have optimal proofs with respect to any one of these...
Abstract—Trust is an important yet complex and little understood dyadic relation among actors in a social network. There are many dimensions to trust; trust plays an important ro...
Sibel Adali, Robert Escriva, Mark K. Goldberg, Myk...