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Support vector machine and its bias correction in high-dimension,
  low-sample-size settings

Support vector machine and its bias correction in high-dimension, low-sample-size settings

26 February 2017
Yugo Nakayama
K. Yata
M. Aoshima
ArXiv (abs)PDFHTML

Papers citing "Support vector machine and its bias correction in high-dimension, low-sample-size settings"

4 / 4 papers shown
Title
New Hard-thresholding Rules based on Data Splitting in High-dimensional
  Imbalanced Classification
New Hard-thresholding Rules based on Data Splitting in High-dimensional Imbalanced Classification
Arezou Mojiri
Abbas Khalili
A. Z. Hamadani
42
0
0
05 Nov 2021
Population structure-learned classifier for high-dimension
  low-sample-size class-imbalanced problem
Population structure-learned classifier for high-dimension low-sample-size class-imbalanced problem
Liran Shen
Meng Joo Er
Qingbo Yin
25
6
0
10 Sep 2020
The classification for High-dimension low-sample size data
The classification for High-dimension low-sample size data
Liran Shen
Meng Joo Er
Qingbo Yin
45
23
0
21 Jun 2020
Distance-based classifier by data transformation for high-dimension,
  strongly spiked eigenvalue models
Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models
M. Aoshima
K. Yata
48
29
0
30 Oct 2017
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