Graph-based optimization approaches for machine learning, uncertainty quantification and networks

Author:

Bertozzi Andrea L.,Merkurjev Ekaterina

Funder

National Science Foundation

Defense Advanced Research Projects Agency

Publisher

Elsevier

Reference93 articles.

1. Convex variational methods on graphs for multiclass segmentation of high-dimensional data and point clouds;Bae;J. Math. Imag. Vis.,2017

2. Manifold regularization: a geometric framework for learning from labeled and unlabeled examples;Belkin;J. Mach. Learn. Res.,2006

3. Spectral partitioning with indefinite kernels using the Nyström extension;Belongie,2002

4. Graphical models in machine learning, networks, and uncertainty quantification;Bertozzi,2018

5. Diffuse interface models on graphs for classification of high dimensional data;Bertozzi;Multiscale Model. Simul.,2012

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