We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradie...
In this paper we consider provenance modelling in Adaptive Hypermedia Systems (AHS). We revisit adaptation and data provenance questions and bring up new and complementary aspects...
Existing niching techniques commonly use the Euclidean distance metric in the decision space for the classification of feasible solutions to the niches under formation. This approa...
CubeBrowser is the concept study for a six-display cube with digital screens that makes it possible to browse online databases like flickr. The control of navigation is exclusivel...
A novel training method has been proposed for increasing efficiency and generalization of support vector machine (SVM). The efficiency of SVM in classification is directly determi...