In this paper, an architecture of a resourceallocating learning probabilistic neural network is considered. Construction and learning algorithms are proposed. The advantages of th...
We use the theory and algorithms developed for so-called shiftinvariant spaces to develop a novel distributed architecture for sampling and reconstructing non-bandlimited fields i...
Abstract. As the amount of information and communication increases dramatically new working environments must provide efficient mechanisms to maximize the benefits of these develop...
Albrecht Schmidt, Alexander Specker, Gerhard Parts...
Users of highly popular Web sites may experience long delays when accessing information. Upgrading content site infrastructure from a single node to a locally distributed Web clus...
Valeria Cardellini, Michele Colajanni, Philip S. Y...
Background: Transcriptional regulation of cellular functions is carried out through a complex network of interactions among transcription factors and the promoter regions of genes...