Calibrated Prediction Intervals for Neural Network Regressors

26 Mar 2018Gil KerenNicholas CumminsBjörn Schuller

Ongoing developments in neural network models are continually advancing the state of the art in terms of system accuracy. However, the predicted labels should not be regarded as the only core output; also important is a well-calibrated estimate of the prediction uncertainty... (read more)

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