Biology, chemistry and medicine are faced by tremendous challenges caused by an overwhelming amount of data and the need for rapid interpretation. Computational intelligence (CI) ...
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...
Interpretation of spatial features often requires combined reasoning over geometry and semantics. We introduce the Space package, an open source SWI-Prolog extension that provides ...
Willem Robert van Hage, Jan Wielemaker, Guus Schre...
Mobile devices are constrained in terms of computational power, battery lifetime and memory sizes. Software development for mobile devices is further complicated by application co...
Taekhoon Kim, Sungho Kim, Kirak Hong, Hwangho Kim,...
In this article we present a general method for achieving global static analyzers that are precise, sound, yet also scalable. Our method generalizes the sparse analysis techniques...