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

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
ArXivPDFHTML

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

3 / 3 papers shown
Title
Graph Laplacian-based Bayesian Multi-fidelity Modeling
Graph Laplacian-based Bayesian Multi-fidelity Modeling
Orazio Pinti
Jeremy M. Budd
Franca Hoffmann
Assad A. Oberai
37
1
0
12 Sep 2024
A few-shot graph Laplacian-based approach for improving the accuracy of
  low-fidelity data
A few-shot graph Laplacian-based approach for improving the accuracy of low-fidelity data
Orazio Pinti
Assad A. Oberai
23
0
0
29 Mar 2023
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
35
40
0
29 Oct 2019
1