Abstract. Bias variance decomposition for classifiers is a useful tool in understanding classifier behavior. Unfortunately, the literature does not provide consistent guidelines on...
er than abstracting human behavior as work processes or tasks--functional idealizations of the work to be accomplished--we model people's activities comprehensively and chrono...
—The problem of variable sample rate conversion (SRC) has received much attention on account of its applications in software defined radios (SDRs) that must support a wide varie...
—The advanced sampling and variance reduction techniques as efficient alternatives to the slow crude-MC method have recently been adopted for the analysis of timing yield in dig...
In this paper various algorithms for sorting on processor networks are considered. We focus on meshes, but the results can be generalized easily to other decomposable architecture...