This paper develops algorithms to train linear support vector machines (SVMs) when training data are distributed across different nodes and their communication to a centralized no...
Pedro A. Forero, Alfonso Cano, Georgios B. Giannak...
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Abstract--In cognitive radio (CR) networks with multipleinput multiple-output (MIMO) links, secondary users (SUs) can exploit "spectrum holes" in the space domain to acce...
Sketches--data structures for probabilistic, duplicate insensitive counting--are central building blocks of a number of recently proposed network protocols, for example in the con...
- The Multi-Threshold CMOS (MTCMOS) technology has become a popular technique for standby power reduction. This technology utilizes high-Vth sleep transistors to reduce subthreshol...