Before revision:  Numerical experiments are performed in the contexts of extreme learning machines, randomized DNNs , and heteroscedastic regression  .
After revision:  The predictive performance of the proposed models is evaluated against comparable learning models on various probabilistic predictions tasks in the context of ELMs, model uncertainty , and heteroscedastic regression .