Mixtures of Gaussian Processes

@inproceedings{Tresp2000MixturesOG,
  title={Mixtures of Gaussian Processes},
  author={Volker Tresp},
  booktitle={NIPS},
  year={2000}
}
We introduce the mixture of Gaussian processes (MGP) model which is useful for applications in which the optimal bandwidth of a map is input dependent. The MGP is derived from the mixture of experts model and can also be used for modeling general conditional probability densities. We discuss how Gaussian processes -in particular in form of Gaussian process classification, the support vector machine and the MGP modelcan be used for quantifying the dependencies in graphical models. 

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