Abstract. In this paper we examine how the activation of one independent component analysis (ICA) feature changes first and second order statistics of other independent components...
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...
Of all of the challenges which face the selection of relevant features for predictive data mining or pattern recognition modeling, the adaptation of computational intelligence tec...
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
d abstract)1 Niek Bergboer Eric Postma Jaap van den Herik Institute for Knowledge and Agent Technology, Universiteit Maastricht, P.O. Box 616, 6200 MD Maastricht It is well known t...
Niek Bergboer, Eric O. Postma, H. Jaap van den Her...