ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.02704
  4. Cited By
Random Sampling High Dimensional Model Representation Gaussian Process
  Regression (RS-HDMR-GPR) for representing multidimensional functions with
  machine-learned lower-dimensional terms allowing insight with a general
  method

Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general method

24 November 2020
Owen Ren
Mohamed Ali Boussaidi
Dmitry Voytsekhovsky
Manabu Ihara
Sergei Manzhos
    GP
ArXivPDFHTML

Papers citing "Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general method"

2 / 2 papers shown
Title
When Gaussian Process Meets Big Data: A Review of Scalable GPs
When Gaussian Process Meets Big Data: A Review of Scalable GPs
Haitao Liu
Yew-Soon Ong
Xiaobo Shen
Jianfei Cai
GP
85
690
0
03 Jul 2018
Understanding Machine-learned Density Functionals
Understanding Machine-learned Density Functionals
Li Li
John C. Snyder
I. Pelaschier
Jessica Huang
U. Niranjan
Paul Duncan
M. Rupp
K. Müller
K. Burke
59
152
0
04 Apr 2014
1