Uncertainty Quantification in Graph-Based Classification of High Dimensional Data-Reference-Cited by-同舟云学术

Uncertainty Quantification in Graph-Based Classification of High Dimensional Data

Published:2018-01 Issue:2 Volume:6 Page:568-595
ISSN:2166-2525
Container-title:SIAM/ASA Journal on Uncertainty Quantification
language:en
Short-container-title:SIAM/ASA J. Uncertainty Quantification

Author:

Bertozzi Andrea L.,Luo Xiyang,Stuart Andrew M.,Zygalakis Konstantinos C.

Funder

Defense Advanced Research Projects Agency

Office of Naval Research

Division of Mathematical Sciences

Engineering and Physical Sciences Research Council

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics,Statistics, Probability and Uncertainty,Modelling and Simulation,Statistics and Probability

Link

https://epubs.siam.org/doi/pdf/10.1137/17M1134214

Reference37 articles.

1. Bayesian image classification using Markov random fields

2. Diffuse Interface Models on Graphs for Classification of High Dimensional Data

3. Diffuse Interface Models on Graphs for Classification of High Dimensional Data

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