Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Kriging

Known as: Universal Kriging, Multiple-indicator Kriging, Gaussian process regression 
In statistics, originally in geostatistics, Kriging or Gaussian process regression is a method of interpolation for which the interpolated values are… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
Abstract This tutorial introduces the reader to Gaussian process regression as an expressive tool to model, actively explore and… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Review
2018
Review
2018
Bayesian optimization is an approach to optimizing objective functions that take a long time (minutes or hours) to evaluate. It… Expand
  • figure 1
  • figure 2
  • figure 3
Review
2018
Review
2018
This paper is an attempt to bridge the conceptual gaps between researchers working on the two widely used approaches based on… Expand
  • figure 1
  • figure 2
Review
2018
Review
2018
  • Haitao Liu, J. Cai, Y. Ong
  • Knowl. Based Syst.
  • 2018
  • Corpus ID: 3691988
Abstract Multi-output regression problems have extensively arisen in modern engineering community. This article investigates the… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Highly Cited
2008
Highly Cited
2008
We extend the basic theory of kriging, as applied to the design and analysis of deterministic computer experiments, to the… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Highly Cited
2007
Highly Cited
2007
This paper discusses the characteristics of regression-kriging (RK), its strengths and limitations, and illustrates these with a… Expand
Highly Cited
2005
Highly Cited
2005
The use of kriging models for approximation and metamodel-based design and optimization has been steadily on the rise in the past… Expand
  • figure 1
  • figure 2
  • table 1
  • figure 3
  • figure 4
Highly Cited
2001
Highly Cited
2001
Response surface methods have been used for a variety of applications in aerospace engineering, particularly in multidisciplinary… Expand
  • figure 1
  • figure 2
  • table 1
  • figure 3
  • table 2
Highly Cited
2000
Highly Cited
2000
1 Linear Prediction.- 1.1 Introduction.- 1.2 Best linear prediction.- Exercises.- 1.3 Hilbert spaces and prediction.- Exercises… Expand
Highly Cited
1999
Highly Cited
1999
We consider the problem of segmenting a digitized image consisting of two univariate populations. Assume a priori knowledge… Expand
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • table 2