Parameter estimation in systems exhibiting spatially complex solutions via persistent homology and machine learning-Reference-Cited by-同舟云学术

Parameter estimation in systems exhibiting spatially complex solutions via persistent homology and machine learning

Author:

Calcina Sabrina S.,Gameiro Marcio

Funder

Centro de Ciências Matemáticas Aplicadas à Indústria

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation,Numerical Analysis,General Computer Science,Theoretical Computer Science

Reference43 articles.

1. CHomP, Computational Homology Software, http://chomp.rutgers.edu/, Accessed 28/03/18.

2. Persistence images: A stable vector representation of persistent homology;Adams;J. Mach. Learn. Res.,2017

3. An introduction to kernel and nearest-neighbor nonparametric regression;Altman;Amer. Statist.,1992

4. Support vector regression;Basak;Neural Inf. Process.-Lett. Rev.,2007

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