Tags: Gaussian process regression

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  1. Jul 06 2022

    Gaussian Process Regression for Surface Interpolation

    Abstract: Gaussian process regression (GPR) is a nonparametric regression method with widespread applications in various scientific and engineering fields. In manufacturing, it has been used...

    https://nanohub.org/events/details/2181

  2. Filtered Kriging Lab

    Tools | 28 Jun 2022 | Contributor(s):: Zhiqiao Dong, Manan Mehta, Sixian Jia

    This tool introduces users to filtered kriging used for surface interpolation.

  3. Active Learning via Bayesian Optimization for Materials Discovery

    Online Presentations | 25 Jun 2021 | Contributor(s):: Hieu Doan, Garvit Agarwal

    In this tutorial, we will demonstrate the use of active learning via Bayesian optimization (BO) to identify ideal molecular candidates for an energy storage application.

  4. Bayesian optimization tutorial using Jupyter notebook

    Tools | 11 Jun 2021 | Contributor(s):: Hieu Doan, Garvit Agarwal

    Active learning via Bayesian optimization for materials discovery

  5. Efficient Exploration of Quantified Uncertainty in Granular Crystals

    Online Presentations | 16 Mar 2016 | Contributor(s):: Juan Camilo Lopez

    This work presents a way of quantifying uncertainty in granular crystals in a computationally efficient way. To accomplish this, a low dimensional response surface is approximated through the method of active subspaces. Within this framework, special structure within the inputs is exploited to...

  6. Cluster Optimization BGO 01

    Tools | 29 Jul 2015 | Contributor(s):: Ilias Bilionis, Yinuo Li

    Cluster Optimization Using Bayesian Global Optimization