—Unbalanced traffic demands of different data center applications are an important issue in designing Data center networks (DCNs). In this paper, we present our exploratory inve...
Linearizability is a key design methodology for reasoning about tations of concurrent abstract data types in both shared memory and message passing systems. It provides the illusi...
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...
Miguel A. Palacios-Alonso, Carlos A. Brizuela, Lui...
Given the complexity of the problem, genetic algorithms are one of the more promising methods of discovering control schemes for soft robotics. Since physically embodied evolution...
John Rieffel, Frank Saunders, Shilpa Nadimpalli, H...
Abstract-- We present a new, biologically-inspired algorithm for the problem of covering a given region with wireless "units" (sensors or base-stations). The general prob...