Highly Influenced

@inproceedings{Bishop1996BayesianIO, title={Bayesian Inference of Noise Levels in Regression}, author={Christopher M. Bishop and Cazhaow S. Quazaz}, booktitle={ICANN}, year={1996} }

- Published 1996 in ICANN
DOI:10.1007/3-540-61510-5_14

In most treatments of the regression problem it is assumed that the distribution of target data can be described by a deterministic function of the inputs, together with additive Gaussian noise having constant variance. The use of maximum likelihood to train such models then corresponds to the minimization of a sum-of-squares error function. In many applications a more realistic model would allow the noise variance itself to depend on the input variables. However, the use of maximum likelihood… CONTINUE READING

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