Efficient Gaussian process regression for large datasets.
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Fast methods for training Gaussian processes on large datasetsEfficient Bayesian hierarchical functional data analysis with basis function approximations using Gaussian-Wishart processes.Point pattern analysis with spatially varying covariate effects, applied to the study of cerebrovascular deaths.Joint hierarchical Gaussian process model with application to personalized prediction in medical monitoring.
P2860
Efficient Gaussian process regression for large datasets.
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article scientifique
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bilimsel makale
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scientific article published on March 2013
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Efficient Gaussian process regression for large datasets.
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Efficient Gaussian process regression for large datasets.
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Efficient Gaussian process regression for large datasets.
@en
Efficient Gaussian process regression for large datasets.
@nl
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Efficient Gaussian process regression for large datasets.
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Efficient Gaussian process regression for large datasets.
@nl
P2093
P2860
P356
P1433
P1476
Efficient Gaussian process regression for large datasets.
@en
P2093
Anjishnu Banerjee
David B Dunson
Surya T Tokdar
P2860
P356
10.1093/BIOMET/ASS068
P407
P577
2013-03-01T00:00:00Z