A genetic algorithms is applied to find a maximum flow from the source to sink in a weighted directed graph, where the weight associated with each edge represents its flow capacit...
Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an unknown function is appr...
We study the problem of multivariate integration on the unit cube for unbounded integrands. Our study is motivated by problems in statistics and mathematical finance, where unboun...
Benjamin J. Waterhouse, Frances Y. Kuo, Ian H. Slo...
Background: A common feature of microarray experiments is the occurence of missing gene expression data. These missing values occur for a variety of reasons, in particular, becaus...
Brian D. M. Tom, Walter R. Gilks, Elizabeth T. Bro...
ion levels. The framework also supports the generation of test constraints, which can be satisfied using a constraint solver to generate tests. A compositional verification approac...