An efficient approach for discriminant analysis based on adaptive feature augmentation-Reference-Cited by-同舟云学术

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An efficient approach for discriminant analysis based on adaptive feature augmentation

Published:2022-04-22 Issue:16 Volume:92 Page:3414-3429
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Wu Qiying¹²^ORCID,Wang Huiwen¹³,Wang Shanshan¹³^ORCID

Affiliation:

1. School of Economics and Management, Beihang University, Beijing, People's Republic of China

2. Beijing Key Laboratory of Emergence Support Simulation Technologies for City Operations, Beijing, People's Republic of China

3. Key Laboratory of Complex System Analysis, Management and Decision (Beihang University), Ministry of Education, Beijing, People's Republic of China

Funder

National Natural Science Foundation of China

State Key Program of National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2022.2066672

Reference30 articles.

1. Spam Detection on Twitter Using Traditional Classifiers

2. Parkinson’s Disease tremor classification – A comparison between Support Vector Machines and neural networks

3. Deep feature augmentation for occluded image classification

4. Regularization and variable selection via the elastic net

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