Variational Gaussian process classifiers

@article{Gibbs2000VariationalGP,
  title={Variational Gaussian process classifiers},
  author={Mark N. Gibbs and D. MacKay},
  journal={IEEE transactions on neural networks},
  year={2000},
  volume={11 6},
  pages={
          1458-64
        }
}
  • Mark N. Gibbs, D. MacKay
  • Published 2000
  • Computer Science, Medicine
  • IEEE transactions on neural networks
  • Gaussian processes are a promising nonlinear regression tool, but it is not straightforward to solve classification problems with them. In this paper the variational methods of Jaakkola and Jordan are applied to Gaussian processes to produce an efficient Bayesian binary classifier. 

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