The loss surfaces of deep neural networks have been the subject several studies, theoretical and experimental, over last few years. One strand work considers complexity, in sense local optima, high dimensional random functions with aim informing how optimisation methods may perform such complicated settings. Prior Choromanska et al (2015) established a direct link between training multi-layer p...

The usefulness of remaining cycle time models for predictive and prescriptive process monitoring depends not only on the overall accuracy predictions but also their earliness: should be as accurate possible, early possible. To give this criterion more weight in model fitting, paper evaluates three L1 loss functions with temporal decay. All have property increasing residuals from stages a relati...