Lecture 22 - Gaussian Process Regression: Conditioning on Data#

Objectives#

  • Perform Gaussian process regression without measurement noise.

  • Perform Gaussian process regression with measurement noise.

  • Tune the hyper-parameters of a Gaussian process using maximum marginal likelihood.

  • Perform multivariate Gaussian process regression with automatic relevance determination.