Sökning: "Dino Sejdinovic"

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1. 1. Reliable Uncertainty Quantification in Statistical Learning

   Författare :David Widmann; Fredrik Lindsten; Dave Zachariah; Erik Sjöblom; Dino Sejdinovic; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Reliability; Calibration; Uncertainty; Probabilistic Model; Prediction; Julia; Machine learning; Maskininlärning;

   Sammanfattning : Mathematical models are powerful yet simplified abstractions used to study, explain, and predict the behavior of systems of interest. This thesis is concerned with their latter application as predictive models. LÄS MER