Robust distributed multicategory angle-based classification for massive data

Multicategory classification problems are frequently encountered in practice. Considering that the massive data sets are increasingly common and often stored locally, we first provide a distributed estimation in the multicategory angle-based classification framework and obtain its excess risk under...

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Bibliographic Details
Published in:	Metrika Vol. 87; no. 3; pp. 299 - 323
Main Authors:	Sun, Gaoming, Wang, Xiaozhou, Yan, Yibo, Zhang, Riquan
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2024 Springer Nature B.V
Subjects:	Algorithms Classification Economic Theory/Quantitative Economics/Mathematical Methods Euclidean space Massive data points Mathematics and Statistics Parameter estimation Probability Theory and Stochastic Processes Random variables Robustness Statistics Support vector machines Robust distributed algorithms Distributed setting Weighted-based gradient estimation MOM-based gradient estimation Multicategory classification
ISSN:	0026-1335, 1435-926X
Online Access:	Get full text
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