Cluster-based Kriging Approximation Algorithms for Complexity Reduction

Cluster-based Kriging Approximation Algorithms for Complexity Reduction

4 February 2017

Thomas Bäck

Papers citing "Cluster-based Kriging Approximation Algorithms for Complexity Reduction"

4 / 4 papers shown

Title
Graph Signal Reconstruction Techniques for IoT Air Pollution Monitoring Platforms Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 6 6 0 02 Jan 2022
High Dimensional Bayesian Optimization Assisted by Principal Component Analysis E. Raponi Hao Wang M. Bujny S. Boria Carola Doerr 10 29 0 02 Jul 2020
Understanding and Comparing Scalable Gaussian Process Regression for Big Data Haitao Liu Jianfei Cai Yew-Soon Ong Yi Wang 11 22 0 03 Nov 2018
A Framework for Evaluating Approximation Methods for Gaussian Process Regression Krzysztof Chalupka Christopher K. I. Williams Iain Murray GP 59 168 0 29 May 2012