相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing
Simo Sarkka et al.
IEEE SIGNAL PROCESSING MAGAZINE (2013)
Linear Latent Force Models Using Gaussian Processes
Mauricio A. Alvarez et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
IMPROVED MATRIX ALGORITHMS VIA THE SUBSAMPLED RANDOMIZED HADAMARD TRANSFORM
Christos Boutsidis et al.
SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS (2013)
On the low-rank approximation by the pivoted Cholesky decomposition
Helmut Harbrecht et al.
APPLIED NUMERICAL MATHEMATICS (2012)
An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach
Finn Lindgren et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2011)
Application of FFT-based Algorithms for Large-Scale Universal Kriging Problems
J. Fritz et al.
MATHEMATICAL GEOSCIENCES (2009)
Learning curves for Gaussian process regression: Approximations and bounds
P Sollich et al.
NEURAL COMPUTATION (2002)
Sparse on-line Gaussian processes
L Csato et al.
NEURAL COMPUTATION (2002)
A Bayesian committee machine
V Tresp
NEURAL COMPUTATION (2000)