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Volumn 12, Issue , 2011, Pages 1697-1728
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Domain decomposition approach for fast Gaussian process regression of large spatial data sets
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Author keywords
Boundary value problem; Domain decomposition; Gaussian process regression; Parallel computation; Spatial prediction
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Indexed keywords
COMPUTATION COMPLEXITY;
CONTINUITY CONSTRAINTS;
COVARIANCE FUNCTION;
DOMAIN DECOMPOSITIONS;
FAST COMPUTATION;
GAUSSIAN PROCESS REGRESSION;
HYPERPARAMETERS;
LOCAL REGION;
MISMATCH PROBLEMS;
NONSTATIONARY;
PARALLEL COMPUTATION;
REGRESSION FUNCTION;
SPATIAL DATASETS;
SPATIAL PREDICTION;
SUB-DOMAINS;
SUBDOMAIN;
SYNTHETIC DATASETS;
COMPUTATIONAL COMPLEXITY;
COMPUTATIONAL EFFICIENCY;
DOMAIN DECOMPOSITION METHODS;
GAUSSIAN NOISE (ELECTRONIC);
REGRESSION ANALYSIS;
GAUSSIAN DISTRIBUTION;
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EID: 79960147021
PISSN: 15324435
EISSN: 15337928
Source Type: Journal
DOI: None Document Type: Article |
Times cited : (79)
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References (18)
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