Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...
Georg Schneider, Heiko Wersing, Bernhard Sendhoff,...
Abstract. We present the next version (ver. 2.1) of the Rough Set Exploration System – a software tool featuring a library of methods and a graphical user interface supporting va...
Jan G. Bazan, Marcin S. Szczuka, Arkadiusz Wojna, ...