Efficient distributional regression trees learning algorithms for calibrated non-parametric probabilistic forecasts
arXiv:2502.05157v3 Announce Type: replace
Abstract: The perspective of developing trustworthy AI for critical applications in science and engineering requires machine learning techniques that are capable of estimating their own uncertainty. In the con…