Sciweavers

Share
NIPS
2001

Infinite Mixtures of Gaussian Process Experts

9 years 5 months ago
Infinite Mixtures of Gaussian Process Experts
We present an extension to the Mixture of Experts (ME) model, where the individual experts are Gaussian Process (GP) regression models. Using an input-dependent adaptation of the Dirichlet Process, we implement a gating network for an infinite number of Experts. Inference in this model may be done efficiently using a Markov Chain relying on Gibbs sampling. The model allows the effective covariance function to vary with the inputs, and may handle large datasets
Carl Edward Rasmussen, Zoubin Ghahramani
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where NIPS
Authors Carl Edward Rasmussen, Zoubin Ghahramani
Comments (0)
books