The Grid vision promises the secure and dynamic sharing of heterogeneous resources across the Internet. To date the emphasis has been on supercomputing scenarios where a relatively...
Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
: Web-based instruction and online learning are changing customary practices in education. As conventional patterns for content delivery are influenced by new and improving technol...
This paper presents a cooperative evolutionary approach for the problem of instance selection for instance based learning. The presented model takes advantage of one of the most r...