Gaussian process classification

(30 minutes to learn)


Gaussian process classification is a Bayesian model for nonparametric classification. The data points have associated latent variables which are drawn from a GP prior, and the labels are modeled as stochastic functions of the latent variables.


This concept has the prerequisites:

Core resources (read/watch one of the following)


Gaussian Processes for Machine Learning
A graduate-level machine learning textbook focusing on Gaussian processes.
Authors: Carl E. Rasmussen,Christopher K. I. Williams


See also