We present a kernel-based recursive least-squares (KRLS) algorithm on a fixed memory budget, capable of recursively learning a nonlinear mapping and tracking changes over time. I...
Abstract—In this paper, we investigate the problem of designing compact-support interpolation kernels for a given class of signals. By using calculus of variations, we simplify t...
Ramtin Madani, Ali Ayremlou, Arash Amini, Farrokh ...
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
Continuous media playback suffers when a station's operating system offers insufficient 1/0 throughput. Conventional 1/0 system structures support a memory-oriented read and ...
In this paper we present a model for coalition formation and payo distribution in general environments. We focus on a reduced complexity kernel-oriented coalition formation model,...