Heteroscedastic Gaussian processes for uncertain and incomplete data
In probabilistic inference, many implicit and explicit assumptions are taken about the nature of input noise and the function fit to either simplify the mathematics, improve the time complexity or optimise for space. It is often assumed that the inputs are noiseless or that the noise is drawn from t...
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University of Oxford
2017
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.729224 |