In manipulating data such as in supervised learning, we often extract new features from original features for the purpose of reducing the dimensions of feature space and achieving ...
Sparse kernel regressors have become popular by applying the support vector method to regression problems. Although this approach has been shown to exhibit excellent generalization...
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
Abstract— This paper presents the architecture of a passive monitoring system installed within the Sprint IP backbone network. This system differs from other packet monitoring sy...
Chuck Fraleigh, Christophe Diot, Bryan Lyles, Sue ...
This paper describes the use of Simple HTML Ontology Extensions (SHOE) in a real world internet application. SHOE allows authors to add semantic content to web pages and to relate...