The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases availab...
Junio de Freitas, Gisele L. Pappa, Altigran Soares...
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...
Most classification algorithms are "passive", in that they assign a class label to each instance based only on the description given, even if that description is incompl...
MapStats for Kids is concerned with the development of online learning activities based on data from the FedStats web portal. The development of these web applications requires th...
Sven Fuhrmann, John Bosley, Roger Downs, Mark Gahe...
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...