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Consistency of semi-supervised learning algorithms on graphs: Probit and
  one-hot methods
v1v2 (latest)

Consistency of semi-supervised learning algorithms on graphs: Probit and one-hot methods

18 June 2019
Franca Hoffmann
Bamdad Hosseini
Zhi Ren
Andrew M. Stuart
ArXiv (abs)PDFHTML

Papers citing "Consistency of semi-supervised learning algorithms on graphs: Probit and one-hot methods"

4 / 4 papers shown
Title
Model-Change Active Learning in Graph-Based Semi-Supervised Learning
Model-Change Active Learning in Graph-Based Semi-Supervised Learning
Kevin Miller
Andrea L. Bertozzi
SSL
56
12
0
14 Oct 2021
Graph-based Semi-supervised Learning: A Comprehensive Review
Graph-based Semi-supervised Learning: A Comprehensive Review
Zixing Song
Xiangli Yang
Zenglin Xu
Irwin King
154
210
0
26 Feb 2021
Posterior Consistency of Semi-Supervised Regression on Graphs
Posterior Consistency of Semi-Supervised Regression on Graphs
Andrea L. Bertozzi
Bamdad Hosseini
Hao Li
Kevin Miller
Andrew M. Stuart
65
10
0
25 Jul 2020
Improved spectral convergence rates for graph Laplacians on
  epsilon-graphs and k-NN graphs
Improved spectral convergence rates for graph Laplacians on epsilon-graphs and k-NN graphs
Jeff Calder
Nicolas García Trillos
105
40
0
29 Oct 2019
1