We consider the problem of boosting the accuracy of weak learning algorithms in the agnostic learning framework of Haussler (1992) and Kearns et al. (1992). Known algorithms for t...
In Fine-Grained Cycle Sharing (FGCS) systems, machine owners voluntarily share their unused CPU cycles with guest jobs, as long as the performance degradation is tolerable. For gu...
Tanzima Zerin Islam, Saurabh Bagchi, Rudolf Eigenm...
—The potential for improving the performance of data-intensive scientific programs by enhancing data reuse in cache is substantial because CPUs are significantly faster than me...
We present a co-synthesis approach that accelerates reactive software processing by moving the calculation of complex expressions into external combinational hardware. The startin...
Abstract— In this paper we present a case study of cooperation of a strongly heterogeneous robot team, composed of a highly articulated humanoid robot and a wheeled robot with la...