Asymptotic properties of multiclass support vector machine under high dimensional settings
Author:
Affiliation:
1. Degree Programs in Pure and Applied Sciences, Graduate School of Science and Technology, University of Tsukuba, Ibaraki, Japan
Funder
JST SPRING
Publisher
Informa UK Limited
Subject
Modeling and Simulation,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/03610918.2022.2066693
Reference18 articles.
1. Two-Stage Procedures for High-Dimensional Data
2. A distance-based, misclassification rate adjusted classifier for multiclass, high-dimensional data
3. Geometric Classifier for Multiclass, High-Dimensional Data
4. Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models
5. High-Dimensional Quadratic Classifiers in Non-sparse Settings
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1. Asymptotic behavior of some multicategory classification methods for high-dimensional data;Communications in Statistics - Simulation and Computation;2024-05-16
2. Testing the suitability of v-Support Vector Machine for hyperspectral image classification;International Journal of Image and Data Fusion;2024-05-06
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