Uncertainty quantification in neural network classifiers -- a local linear approach

Magnus Malmström, Isaac Skog, Daniel Axehill +1

Classifiers based on neural networks (NN) often lack a measure of uncertainty in the predicted class. We propose a method to estimate the probability mass function (PMF) of the dif…