We study losses for binary classification and class probability estimation and extend the understanding of them from margin losses to general composite losses which are the compos...
Subgroup discovery aims at finding subsets of a population whose class distribution is significantly different from the overall distribution. A number of multi-class subgroup disc...
The success of simple methods for classification shows that is is often not necessary to model complex attribute interactions to obtain good classification accuracy on practical p...
Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhar...
The objective of this paper is to investigate the problems related to the extensional integration of information sources. In particular, we propose an approach for managing incons...
The development of the XCS Learning Classifier System [26] has produced a stable implementation, able to consistently identify the accurate and optimally general population of cla...