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Patchwork kriging for large-scale Gaussian process regression
Chiwoo Park,
Daniel Apley
Industrial Engineering and Management Sciences
Research output
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Contribution to journal
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Article
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peer-review
46
Scopus citations
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Dive into the research topics of 'Patchwork kriging for large-scale Gaussian process regression'. Together they form a unique fingerprint.
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Keyphrases
Kriging
100%
Gaussian Process Regression
100%
Gaussian Process
100%
Gaussian Process Model
75%
Local Gaussian Process
75%
Pseudo-observations
50%
Uncertainty Quantification
25%
Computationally Efficient
25%
Response Prediction
25%
Process-based
25%
Prediction Accuracy
25%
Prediction Method
25%
Response Process
25%
Numerical Performance
25%
Local Region
25%
Two-region
25%
High-dimensional Data
25%
Closed-form Expression
25%
Process Approach
25%
Continuity Condition
25%
Sample Covariance Matrix
25%
Process Framework
25%
Partitioning Scheme
25%
Regional Boundary
25%
Space Partition
25%
Predictive Mean
25%
Spatial Datasets
25%
Discontinuity Problem
25%
Augmented Data
25%
Predictive Variance
25%
Gaussian Process Prediction
25%
Gaussian Process Methods
25%
Predictive Uncertainty
25%
Spatial Partitioning
25%
Prediction Error Variance
25%
Boundary Input
25%
Local Principal Components
25%
Computer Science
gaussian process model
100%
Large Data Set
33%
Process Framework
33%
Prediction Accuracy
33%
closed-form expression
33%
Principal Components
33%
Prediction Error
33%
Process Approach
33%
Error Variance
33%
Sample Covariance Matrix
33%
Mathematics
Kriging
100%
Gaussian Process
100%
Prediction Error
11%
Closed Form
11%
Fitted Model
11%
Error Variance
11%
Prediction Method
11%
Space Partitioning
11%
Neighboring Region
11%
Variance
11%
Two Dimensions
11%
Uncertainty Quantification
11%
Sample Covariance Matrix
11%
Principal Components
11%
Actual Response
11%
Engineering
Gaussians
100%
Continuity Condition
9%
Uncertainty Quantification
9%
Closed Form Expression
9%
Sample Covariance Matrix
9%
Recursive
9%
Local Region
9%
So Framework
9%
Principal Components
9%
Prediction Error
9%
Spatial Partitioning
9%
Actual Response
9%
Process Approach
9%