Aditya Ranade will be presenting.

Title: Relevance Determination of Gaussian process regression using Automatic Dynamic Relevance Determination (ADRD)

Summary: Gaussian Process regression is a commonly used technique to study computer models. While using time-varying functional input with Gaussian process, Automatic Dynamic Relevance Determination (ADRD) offers a way to identify predictive relevance of the input over the index space using different weight function. The technique is demonstrated on WEPP data with functional input and scalar output using multiple weight functions.