We address a new learning problem where the goal is to build a predictive model that minimizes prediction time (the time taken to make a prediction) subject to a constraint on mod...
Biswanath Panda, Mirek Riedewald, Johannes Gehrke,...
T-learning courses are an effective way of education, but their creation is a time-consuming and expensive activity. We explain the process of t-learning courses development as it ...
Kamila Olsevicova, Hana Rohrova, Jaroslava Mikulec...
We identify two fundamental points of utilizing CBR for an adaptive agent that tries to learn on the basis of trial and error without a model of its environment. The first link co...
Random forests are one of the best performing methods for constructing ensembles. They derive their strength from two aspects: using random subsamples of the training data (as in b...
Abstract. With the digitization of society and the continuous migration of services to the electronic world, individuals have lost significant control over their data. In this pap...