Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
Ruxandra Stoean, Dumitru Dumitrescu, Mike Preuss, ...
One of the world’s largest scientific data systems, NASA’s Earth Observing System Data and Information System (EOSDIS) has stored over three petabytes of earth science data in...
Jeanne Behnke, Tonjua Hines Watts, Ben Kobler, Daw...
The evolution towards IP-aware access networks creates the possibility (and, indeed, the desirability) of additional network services, like firewalling or NAT, integrated into th...
Tom Verdickt, Wim Van de Meerssche, Koert Vlaeminc...
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
In the same way as the “static” Semantic Web deals with data model and language heterogeneity and semantics that lead to RDF and OWL, there is language heterogeneity and the ne...