: In this work we introduce an iterative method that deforms brain models built from tomographic images. The deformation is used for normalization purposes: individual models are d...
—This paper examines the problem of predicting job runtimes by exploiting the properties of parameter sweeps. A new parameter sweep prediction framework GIPSy (Grid Information P...
Sam Verboven, Peter Hellinckx, Frans Arickx, Jan B...
Engineering design search and optimisation is a computationally expensive and data intensive process. Grid technology offers great potential to increase the efficiency of this proc...
Jasmin L. Wason, Marc Molinari, Zhuoan Jiao, Simon...
Multiparadigm approach integrates programming language paradigms. We propose Holoparadigm (Holo) as a multiparadigm model oriented to development of grid systems. Holo uses a logi...
OneClassMaxMinOver (OMMO) is a simple incremental algorithm for one-class support vector classification. We propose several enhancements and heuristics for improving model select...