Resource discovery and monitoring in a distributed Grid environment gives rise to several issues, one of which is the provision of reliable performance and hence, the quality-ofse...
Helene N. Lim Choi Keung, Justin R. D. Dyson, Step...
We study the issue of performance prediction on the SGIPower Challenge, a typical SMP. On such a platform, the cost of memory accesses depends on their locality and on contention ...
Nancy M. Amato, Jack Perdue, Mark M. Mathis, Andre...
Electronic commerce is revolutionizing the way we think about data modeling, by making it possible to integrate the processes of (costly) data acquisition and model induction. The...
Foster J. Provost, Prem Melville, Maytal Saar-Tsec...
In this paper we apply a machine learning approach to the problem of estimating the number of defects called Regression via Classification (RvC). RvC initially automatically discr...
Stamatia Bibi, Grigorios Tsoumakas, Ioannis Stamel...
Abstract. We study invertibility of big n × n matrices. There exists a number of algorithms, especially in mathematical statistics and numerical mathematics, requiring to invert s...