62 citations · 84 across the 9 of their papers we have counts for
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stat.ML2020★ 8 cited
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles
Tárik S. Salem, Helge Langseth, Heri Ramampiaro
Prediction intervals are a machine- and human-interpretable way to represent predictive uncertainty in a regression analysis. In this paper, we present a method for generating pred…
cs.LG2020★ 62 cited
Learning similarity measures from data
Bjørn Magnus Mathisen, Agnar Aamodt, Kerstin Bach +1
Defining similarity measures is a requirement for some machine learning methods. One such method is case-based reasoning (CBR) where the similarity measure is used to retrieve the…