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- Christopher M. Bishop, Cazhaow S. Quazaz
- ICANN
- 1996

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… (More)

- Christopher M. Bishop, Cazhaow S. Quazaz
- NIPS
- 1996

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… (More)

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