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

• Type: Conference
• Year: 2001
• Where: NIPS
• Authors: Carl Edward Rasmussen, Zoubin Ghahramani
• Keywords: Effective Covariance Function, Individual Experts, NIPS 2001, NIPS 2007, Regression Models