The development of the XCS Learning Classifier System [26] has produced a stable implementation, able to consistently identify the accurate and optimally general population of cla...
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
In this paper, we present a performance evaluation of a wide-area cluster system based on a rewallenabled Globus metacomputing toolkit. In order to establish communication links ...
Information about dynamic spatial fields, such as temperature, windspeed, or the concentration of gas pollutant in the air, is important for many environmental applications. At th...
With the growing number of programmable processing elements in today's MultiProcessor System-on-Chip (MPSoC) designs, the synergy required for the development of the hardware...
Lei Gao, Kingshuk Karuri, Stefan Kraemer, Rainer L...