A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
David J. Montana, Eric Van Wyk, Marshall Brinn, Jo...
In Proc. European Conf. Computer Vision, 1996, pp. 357{368, Cambridge, UK The performance of Active Contours in tracking is highly dependent on the availability of an appropriate ...
David Reynard, Andrew Wildenberg, Andrew Blake, Jo...
Abstract. This paper addresses a task of variable selection which consists in choosing a subset of variables that is sufficient to predict the target label well. Here instead of tr...
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
Celine Vens, Anneleen Van Assche, Hendrik Blockeel...