Uncertainty Quantification in Extreme Learning Machine: Analytical Developments, Variance Estimates and Confidence Intervals
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.04.027
Abstract: Uncertainty quantification is crucial to assess prediction quality of a machine learning model. In the case of Extreme Learning Machines (ELM), most methods proposed in the literature make strong assumptions on the data, ignore the… read more here.
Keywords: variance; variance estimates; uncertainty quantification; confidence intervals ... See more keywords
Variance estimates and almost Euclidean structure
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DOI: 10.1515/advgeom-2018-0030
Abstract: Abstract We introduce and initiate the study of new parameters associated with any norm and any log-concave measure on ℝn, which provide sharp distributional inequalities. In the Gaussian context this investigation sheds light to the… read more here.
Keywords: almost euclidean; estimates almost; variance estimates; euclidean structure ... See more keywords