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A Witness Function Based Construction of Discriminative Models Using Hermite Polynomials

Frontiers in Applied Mathematics and Statistics(2020)10.3389/fams.2020.00031Source: DataRank Database

A Witness Function Based Construction of Discriminative Models Using Hermite Polynomials is a research paper published in Frontiers in Applied Mathematics and Statistics (2020). On theSindex it has a DataRank of 0. It has been cited 6 times.

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Open Access6 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (6 grants)OA: goldTopics (19)IDs (PubMed)SDGs (1)

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Authors (3)

Xiuyuan Cheng ORCID,Alexander Cloninger ORCID,H. N. Mhaskar ORCID

Live enrichment

PubMed:21097893

National Institutes of Health

Grant: 5R01GM131642-04

EFFICIENT METHODS FOR CALIBRATION, CLUSTERING, VISUALIZATION AND IMPUTATION OF LARGE scRNA-seq DATA

National Science Foundation

Grant: 1820827

CDS&E: Structure-Aware Representation Learning Using Deep Networks

National Science Foundation

Grant: 2012355

Collaborative Research: Computational Harmonic Analysis Approach to Active Learning

National Science Foundation

Grant: 2012266

Collaborative Research: Computational Harmonic Analysis Approach to Active Learning

National Science Foundation

Grant: 1819222

Collaborative Research: Geometric Analysis and Computation for Generative Models

National Science Foundation

Grant: 1818945

Collaborative Research: Geometric Analysis and Computation for Generative Models

goldLicense: cc-by

publisherhttps://www.frontiersin.org/articles/10.3389/fams.2020.00031/pdf

repositoryhttps://doaj.org/article/38727609aee54a91b59be8b7ac3eaa94

https://doi.org/10.3389/fams.2020.00031

https://dx.doi.org/10.48550/arxiv.1901.02975

http://arxiv.org/abs/1901.02975

Fields of Study

02 engineering and technology01 natural sciences0202 electrical engineering, electronic engineering, information engineering0101 mathematics

Keywords

FOS: Computer and information sciencesT57-57.97Computer Science - Machine Learningdiscriminative modelApplied mathematics. Quantitative methods68Q32Machine Learning (stat.ML)QA273-280Machine Learning (cs.LG)probability estimationwitness functionStatistics - Machine Learninggenerative modelProbabilities. Mathematical statisticsHermite functions

Sustainable Development Goals

SDG 16: 16. Peace & justice