Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Recent work has shown that one can learn the structure of Gaussian Graphical Models by imposing an L1 penalty on the precision matrix, and then using efficient convex optimization...
Testing from first-order specifications has mainly been studied for flat specifications, that are specifications of a single software module. However, the specifications of large s...
— The proliferation of wireless and mobile devices has fostered the demand of context aware applications, in which location is often viewed as one of the most significant context...
Abstract--Modeling environments and performance prediction boost application productivity, but often lack integration into an efficient and comprehensive approach to strategic desi...