Abstract. In their search through a huge space of possible hypotheses, rule induction algorithms compare estimations of qualities of a large number of rules to find the one that ap...
Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bra...
We present a general PAC-Bayes theorem from which all known PAC-Bayes risk bounds are obtained as particular cases. We also propose different learning algorithms for finding linea...
In this paper we perform an empirical evaluation of supervised learning on highdimensional data. We evaluate performance on three metrics: accuracy, AUC, and squared loss and stud...
As a collaborative social tool in web2.0 ear, wiki has a great potential in supporting learners’ collaborative learning. After analyzing the present wiki research on learning ac...
The operational benefits of having a learning organization include at the very minimum increased organizational competitiveness and responsiveness in a given realm of competition....