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Parallel Gaussian Process Regression with Low-Rank Covariance Matrix
  Approximations

Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations

24 May 2013
Jie Chen
Nannan Cao
K. H. Low
Ruofei Ouyang
C. Tan
Patrick Jaillet
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Papers citing "Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations"

5 / 5 papers shown
Title
Patchwork Kriging for Large-scale Gaussian Process Regression
Patchwork Kriging for Large-scale Gaussian Process Regression
Chiwoo Park
D. Apley
65
75
0
23 Jan 2017
Decentralized Data Fusion and Active Sensing with Mobile Sensors for
  Modeling and Predicting Spatiotemporal Traffic Phenomena
Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena
Jie Chen
K. H. Low
C. Tan
Ali Oran
Patrick Jaillet
John M. Dolan
Gaurav Sukhatme
50
64
0
09 Aug 2014
Multi-Robot Informative Path Planning for Active Sensing of
  Environmental Phenomena: A Tale of Two Algorithms
Multi-Robot Informative Path Planning for Active Sensing of Environmental Phenomena: A Tale of Two Algorithms
Nannan Cao
K. H. Low
John M. Dolan
74
110
0
04 Feb 2013
Modelling local and global phenomena with sparse Gaussian processes
Modelling local and global phenomena with sparse Gaussian processes
J. Vanhatalo
Aki Vehtari
64
39
0
13 Jun 2012
Active Markov Information-Theoretic Path Planning for Robotic
  Environmental Sensing
Active Markov Information-Theoretic Path Planning for Robotic Environmental Sensing
K. H. Low
John M. Dolan
P. Khosla
72
51
0
28 Jan 2011
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