Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
In a distributed environment the utilization of file buffer caches in different clients may vary greatly. Cooperative caching is used to increase cache utilization by coordinatin...
Song Jiang, Fabrizio Petrini, Xiaoning Ding, Xiaod...
Abstract— In this paper, we present a novel and comprehensive resource management solution for the autonomous hot-spot convergence system (AHSCS) that uses sensor web. This solut...
—Defect tracking using computational intelligence methods is used to predict software readiness in this study. By comparing predicted number of faults and number of faults discov...
The problem of assessing the significance of data mining results on high-dimensional 0?1 data sets has been studied extensively in the literature. For problems such as mining freq...
Aristides Gionis, Heikki Mannila, Panayiotis Tsapa...