This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
We present a load-balancing technique that exploits the temporal coherence, among successive computation phases, in mesh-like computations to be mapped on a cluster of processors....
Biagio Cosenza, Gennaro Cordasco, Rosario De Chiar...
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...
Performance prediction and measurement approaches for component-based software systems help software architects to evaluate their systems based on component performance specificat...
Commercial applications are an important, yet often overlooked, workload with significantly different characteristics from technical workloads. The potential impact of these diffe...
Kimberly Keeton, David A. Patterson, Yong Qiang He...