A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions
Eric Schulz, Maarten Speekenbrink, Andreas Krause
This tutorial introduces Gaussian process regression as a tool for modeling and exploring unknown functions, with examples and applications in regression, kernel assumptions, and exploration-exploitation scenarios.
bioRxiv · Oct 10, 2017 · PreprintAnimal Behavior & Cognition