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Uncertainty quantification in graph-based classification of high
  dimensional data

Uncertainty quantification in graph-based classification of high dimensional data

26 March 2017
Andrea L. Bertozzi
Xiyang Luo
Andrew M. Stuart
K. Zygalakis
    UQCV
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Papers citing "Uncertainty quantification in graph-based classification of high dimensional data"

8 / 8 papers shown
Title
Nonparametric Bayesian label prediction on a graph
Nonparametric Bayesian label prediction on a graph
Jarno Hartog
Harry Van Zanten
18
14
0
06 Dec 2016
A variational approach to the consistency of spectral clustering
A variational approach to the consistency of spectral clustering
Nicolas García Trillos
D. Slepčev
59
128
0
08 Aug 2015
On the Brittleness of Bayesian Inference
On the Brittleness of Bayesian Inference
H. Owhadi
C. Scovel
T. Sullivan
82
68
0
28 Aug 2013
Multiclass Data Segmentation using Diffuse Interface Methods on Graphs
Multiclass Data Segmentation using Diffuse Interface Methods on Graphs
Cristina Garcia-Cardona
Ekaterina Merkurjev
Andrea L. Bertozzi
A. Flenner
A. Percus
48
118
0
15 Feb 2013
MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster
MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster
S. Cotter
Gareth O. Roberts
Andrew M. Stuart
D. White
89
480
0
03 Feb 2012
Optimal Uncertainty Quantification
Optimal Uncertainty Quantification
H. Owhadi
C. Scovel
T. Sullivan
Michael McKerns
M. Ortiz
82
124
0
02 Sep 2010
Consistency of spectral clustering
Consistency of spectral clustering
U. V. Luxburg
M. Belkin
Olivier Bousquet
124
417
0
04 Apr 2008
A Tutorial on Spectral Clustering
A Tutorial on Spectral Clustering
U. V. Luxburg
229
10,497
0
01 Nov 2007
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