Filtered Gaussian Processes for Learning with Large Data-Sets Jian Qing Shi1 , Roderick Murray-Smith2,3 , D. Mike Titterington4 , and Barak A. Pearlmutter3 1 2 - Variance decomposition - Document - PDFSEARCH.IO

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	Filtered Gaussian Processes for Learning with Large Data-Sets Jian Qing Shi1 , Roderick Murray-Smith2,3 , D. Mike Titterington4 , and Barak A. Pearlmutter3 1 2 Add to Reading List Document Date: 2005-01-31 18:12:05 Open Document File Size: 272,39 KB Share Result on Facebook City Kernel / Introduction Kernel / / Company NUI Maynooth Co. / / / Facility University of Newcastle / University of Glasgow / Hamilton Institute / / IndustryTerm similar systems / Online Filtering Approach We / online learning / process prior systems / / Organization UK j.q.shi@ncl.ac.uk Department of Computing Science / University of Glasgow / School of Mathematics and Statistics / Hamilton Institute / University of Newcastle / Department of Statistics / / Technology simulation / GPS / / SocialTag Singular value decomposition Estimation theory Stochastic processes Linear algebra Principal component analysis Normal distribution Eigenvalues and eigenvectors Variance Maximum likelihood Statistics

Filtered Gaussian Processes for Learning with Large Data-Sets Jian Qing Shi1 , Roderick Murray-Smith2,3 , D. Mike Titterington4 , and Barak A. Pearlmutter3 1 2Add to Reading List