Support vector machine and optimal parameter selection for high-dimensional imbalanced data
Author:
Affiliation:
1. Graduate School of Pure and Applied Sciences, University of Tsukuba, Ibaraki, Japan
Funder
Japan Society for the Promotion of Science
Publisher
Informa UK Limited
Subject
Modeling and Simulation,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/03610918.2020.1813300
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1. A survey of high dimension low sample size asymptotics
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