An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
We consider a scenario in which there are resources at or near nodes of a network, which are either static (e.g. fire stations, parking spots) or mobile (e.g. police cars). Over ...
Jie Gao, Leonidas J. Guibas, Nikola Milosavljevic,...
Abstract—We study distributed algorithms for updating transmit precoding matrices for a two-user Multi-Input/Multi-Output (MIMO) interference channel. Our objective is to maximiz...
Changxin Shi, David A. Schmidt, Randall A. Berry, ...
Abstract—This paper presents a novel scalable switching architecture for input queued switches with its proper arbitration algorithms. In contrast to traditional switching archit...
—In a wireless network with node exclusive spectrum sharing, two popular schedules are maximum weight matching (MWM) schedule and maximum size matching (MSM) schedule. The former...