Imprecision, incompleteness, prior knowledge or improved learning speed can motivate interval–represented data. Most approaches for SVM learning of interval data use local kernel...
Parallel volume rendering offers a feasible solution to the large data visualization problem by distributing both the data and rendering calculations among multiple computers con...
Aleksander Stompel, Kwan-Liu Ma, Eric B. Lum, Jame...
— As technology scales into the sub-90nm domain, manufacturing variations become an increasingly significant portion of circuit delay. As a result, delays must be modeled as sta...
Matthew R. Guthaus, Natesan Venkateswaran, Chandu ...
Finding the sparsest solution for an under-determined linear system of equations D = s is of interest in many applications. This problem is known to be NP-hard. Recent work studie...
The paper presents an extended version of the SuperMatrix system -- a general tool supporting automatic acquisition of lexical semantic relations from corpora. Extensions focus mai...