Recommender systems are an emerging technology that helps consumers to find interesting products. A recommender system makes personalized product suggestions by extracting knowle...
In distributed combinatorial optimization problems, dynamic programming algorithms like DPOP ([Petcu and Faltings, 2005]) require only a linear number of messages, thus generating...
We study the behavior of block 1/ 2 regularization for multivariate regression, where a K-dimensional response vector is regressed upon a fixed set of p covariates. The problem of...
Guillaume Obozinski, Martin J. Wainwright, Michael...
We investigate the performance of the IEEE 802.11e while emphasizing on the end-to-end delay performance. In our MAC delay analysis, we are based on elementary conditional probabi...
Ioannis Papapanagiotou, John S. Vardakas, Georgios...
Embedded systems have several characteristics, such as application specific needs, real-time constraints and intrinsic embedded concerns (i.e. energy consumption), which hinder th...
Edison Pignaton de Freitas, Marco A. Wehrmeister, ...