Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
Software’s expense owes partly to frequent reimplementation of similar functionality and partly to maintenance of patches, ports or components targeting evolving interfaces. Mor...
Abstract. Subspace mapping methods aim at projecting high-dimensional data into a subspace where a specific objective function is optimized. Such dimension reduction allows the re...
Axel J. Soto, Marc Strickert, Gustavo E. Vazquez, ...
Background: Protein domains have long been an ill-defined concept in biology. They are generally described as autonomous folding units with evolutionary and functional independenc...
Ya Zhang, John-Marc Chandonia, Chris H. Q. Ding, S...
The notions of hypertree width and generalized hypertree width were introduced by Gottlob, Leone, and Scarcello in order to extend the concept of hypergraph acyclicity. These noti...
Fedor V. Fomin, Petr A. Golovach, Dimitrios M. Thi...