In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
A number of techniques have been proposed to reduce the risk of data loss in hard-drives, from redundant disks (e.g., RAID systems) to error coding within individual drives. Disk ...
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...
Mobile phones are set to become the universal interface to online services and cloud computing applications. However, using them for this purpose today is limited to two configura...
Ioana Giurgiu, Oriana Riva, Dejan Juric, Ivan Kriv...
Rendering networks and distributed systems self-managing and self-optimizing has become a major research focus. This task is especially important for systems, such as publish/subsc...