Variational Mixture of Gaussian Process Experts

Abstract

Mixture of Gaussian processes models extended a single Gaussian process with ability of modeling multi-modal data and reduction of training complexity. Previous inference algorithms for these models are mostly based on Gibbs sampling, which can be very slow, particularly for large-scale data sets. We present a new generative mixture of experts model. Each… (More)

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Cite this paper

@inproceedings{Yuan2008VariationalMO, title={Variational Mixture of Gaussian Process Experts}, author={Chao Yuan and Claus Neubauer}, booktitle={NIPS}, year={2008} }