This study aims to investigate whether combining forecasts generated from different models can improve forecast accuracy rather than individual models using the hierarchical time …
LE Makili, JAV Sánchez… - Fusion Science and …, 2012 - Taylor & Francis
This paper addresses the problem of finding a minimal and good enough training data set for classification purposes by using active learning and conformal predictors. Active learning …
Many alternative approaches for selecting mortality models and calibration periods have been proposed. The usual practice is to base forecasts on a single mortality model se-lected …