A classification-pursuing adaptive approach for Gaussian process regression on unlabeled data

Volume: 162, Pages: 107976 - 107976
Published: Jan 1, 2022
Abstract
Some areas of mechanical and system engineering such as dynamic systems commonly exhibit highly fluctuating responses over given parametric domains. Therefore, classifying some quantities of interest over the parametric domain for designing new systems turns out to be a highly challenging task. In this context, an innovative adaptive sampling algorithm named Monte Carlo-intersite Voronoi (MiVor) is proposed for design applications based on the...
Paper Details
Title
A classification-pursuing adaptive approach for Gaussian process regression on unlabeled data
Published Date
Jan 1, 2022
Volume
162
Pages
107976 - 107976
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.