In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna, Aly A. Farag, Stephen Hushek, T...
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Abstract. Scientists increasingly rely on workflow management systems to perform large-scale computational scientific experiments. These systems often collect provenance informatio...
Luiz M. R. Gadelha Jr., Marta Mattoso, Michael Wil...
— BPEL (Business Process Execution Language) as a de-facto standard for web service orchestration has drawn particularly attention from researchers and industries. BPEL is a semi...