Abstract. In the natural world, individual organisms can adapt as their environment changes. In most in silico evolution, however, individual organisms tend to consist of rigid sol...
—Adaptive resonance theory (ART) describes a family of self-organizing neural networks, capable of clustering arbitrary sequences of input patterns into stable recognition codes....
In some classification problems, like the detection of illnesses in patients, classes are very unbalanced and the misclassification costs for different classes vary significantly....
In wireless ad hoc networks, clustering is one of the most important approaches for many applications. A connected k-hop clustering network is formed by electing clusterheads in k...
Different types of data skewness can result in load imbalance in the context of parallel joins under the shared nothing architecture. We study one important type of skewness, join ...
Foto N. Afrati, Victor Kyritsis, Paraskevas V. Lek...