We propose a new method to partition an unlabeled dataset, called Discriminative Context Partitioning (DCP). It is motivated by the idea of splitting the dataset based only on how...
Abstract— In the sporadic task model, a task is characterized by three parameters — an execution requirement, a relative deadline, and a period parameter — and has the interp...
An automated framework for code and data partitioning for the needs of data management is presented. The goal is to identify the main data types from the data management perspectiv...
—A cooperative coevolutionary algorithm (CCEA) is an extension to an evolutionary algorithm (EA); it employs a divide and conquer strategy to solve an optimization problem. In it...
Abstract. To make ABox reasoning scalable for large ABoxes in description logic (DL) knowledge bases, we develop a method for partitioning the ABox so that specific kinds of reaso...