Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning Algorithms

23 May 2018

Papers citing "Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning Algorithms"

11 / 11 papers shown

Title
Models for information propagation on graphs Oliver R. A. Dunbar C. M. Elliott L. Kreusser 36 2 0 19 Jan 2022
The game theoretic p-Laplacian and semi-supervised learning with few labels Jeff Calder 49 75 0 28 Nov 2017
Analysis of $p$ -Laplacian Regularization in Semi-Supervised Learning D. Slepčev Matthew Thorpe 38 114 0 19 Jul 2017
Continuum Limit of Posteriors in Graph Bayesian Inverse Problems Nicolas García Trillos D. Sanz-Alonso 39 28 0 22 Jun 2017
Uncertainty quantification in graph-based classification of high dimensional data Andrea L. Bertozzi Xiyang Luo Andrew M. Stuart K. Zygalakis UQCV 33 21 0 26 Mar 2017
A variational approach to the consistency of spectral clustering Nicolas García Trillos D. Slepčev 59 128 0 08 Aug 2015
Convergence and Rates for Fixed-Interval Multiple-Track Smoothing Using $k$ -Means Type Optimization Matthew Thorpe A. M. Johansen 36 4 0 08 Jun 2015
Convergence of the $k$ -Means Minimization Problem using $Γ$ -Convergence Matthew Thorpe F. Theil A. M. Johansen Neil Cade 51 25 0 06 Jan 2015
Continuum limit of total variation on point clouds Nicolás García Trillos D. Slepčev 3DPC 59 146 0 25 Mar 2014
MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster S. Cotter Gareth O. Roberts Andrew M. Stuart D. White 91 480 0 03 Feb 2012
A Tutorial on Spectral Clustering U. V. Luxburg 231 10,497 0 01 Nov 2007