This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
Background: In many microarray experiments, analysis is severely hindered by a major difficulty: the small number of samples for which expression data has been measured. When one ...
In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...
Background: Microarray and other high-throughput technologies are producing large sets of interesting genes that are difficult to analyze directly. Bioinformatics tools are needed...
Bing Zhang, Denise Schmoyer, Stefan Kirov, Jay Sno...
-BASED ABSTRACT INTERPRETATION OF PROLOG1 BAUDOUIN LE CHARLIER, SABINA ROSSI, AND PASCAL VAN HENTENRYCK . Abstract interpretation is a general methodology for systematic developmen...
Baudouin Le Charlier, Sabina Rossi, Pascal Van Hen...