In kernel density estimation methods, an approximation of the data probability density function is achieved by locating a kernel function at each data location. The smoothness of ...
Estimation of distribution algorithms (EDAs) are widely used in stochastic optimization. Impressive experimental results have been reported in the literature. However, little work ...
Modern virtual machines, such as Java and Inferno, are emerging as network computing s. While these virtual machines provide higher-level abstractions and more sophisticated servi...
An emerging challenge in modern distributed querying is to efficiently process multiple continuous aggregation queries simultaneously. Processing each query independently may be i...
Ryan Huebsch, Minos N. Garofalakis, Joseph M. Hell...
Periscope is a distributed automatic online performance analysis system for large scale parallel systems. It consists of a set of analysis agents distributed on the parallel machin...