Abstract. Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error),...
In this paper, we present a reduced order inodeling methodology, based on the utilization of optimal non-uniform grids generated by Gaussian spectral rules, for the direct passive...
Traianos Yioultsis, Anne Woo, Andreas C. Cangellar...
Time-varying spatial patterns are common, but few computational tools exist for discovering and tracking multiple, sometimes overlapping, spatial structures of targets. We propose...
Recent research has found that forced interruptions at points of higher mental workload are more disruptive than at points of lower workload. This paper investigates a complementa...
Abstract. This paper presents four extensions to the Interprocedural Finite Distributive Subset (IFDS) algorithm that make it applicable to a wider class of analysis problems. IFDS...