Recently, there has been an increased focus on modeling uncertainty by distributions. Suppose we wish to compute a function of a stream whose elements are samples drawn independen...
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
A distributed software system's deployment architecture can have a significant impact on the system's dependability. Dependability is a function of various system paramet...
Sam Malek, Nels Beckman, Marija Mikic-Rakic, Nenad...
Modern worms can spread so quickly that any countermeasure based on human reaction might not be fast enough. Recent research has focused on devising algorithms to automatically pr...
Lorenzo Cavallaro, Andrea Lanzi, Luca Mayer, Matti...
We present a static analysis for the automatic generation of symbolic prefetches in a transactional distributed shared memory. A symbolic prefetch specifies the first object to be...