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Analysis and algorithms for $\ell_p$-based semi-supervised learning on
  graphs

Analysis and algorithms for ℓp\ell_pℓp​-based semi-supervised learning on graphs

15 January 2019
Mauricio Flores
Jeff Calder
Gilad Lerman
ArXivPDFHTML

Papers citing "Analysis and algorithms for $\ell_p$-based semi-supervised learning on graphs"

5 / 5 papers shown
Title
Numerical solution of a PDE arising from prediction with expert advice
Numerical solution of a PDE arising from prediction with expert advice
Jeff Calder
Nadejda Drenska
Drisana Mosaphir
51
0
0
09 Jun 2024
A maximum principle argument for the uniform convergence of graph
  Laplacian regressors
A maximum principle argument for the uniform convergence of graph Laplacian regressors
Nicolas García Trillos
Ryan W. Murray
40
20
0
29 Jan 2019
Properly-weighted graph Laplacian for semi-supervised learning
Properly-weighted graph Laplacian for semi-supervised learning
Jeff Calder
D. Slepčev
SSL
38
57
0
10 Oct 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
201
8,807
0
25 Aug 2017
Invariant Scattering Convolution Networks
Invariant Scattering Convolution Networks
Joan Bruna
S. Mallat
102
1,272
0
05 Mar 2012
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