Work

Computational Strategies to Increase Efficiency of Gaussian-Process-Driven Autonomous Experiments

Year: 2019

Type: conference-paper

DOI: 10.1109/xloop49562.2019.00006

Authors: Marcus Noack, Petrus Zwart

Institution: Lawrence Berkeley National Laboratory

Language: English

Topic: Gaussian Processes and Bayesian Inference

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W2997817364

FWCI: 0.287

Cites: 17

Cited by: 4

Related to: 10