Twin Support Vector Machine With Local Structural Information for Pattern Classification

Twin Support Vector Machine With Local Structural Information for Pattern Classification

Many versions of support vector machine with structural information exploit the useful prior knowledge to directly improve the algorithm's generalization. The prior knowledge embodies the structure of data, but it cannot fully reflect the local nonlinear structure of data. In this paper, a twin...

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Bibliographic Details
Main Authors: Maoxiang Chu, Liming Liu, Yonghui Yang, Rongfen Gong
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Pattern classification
structural twin support vector machine
local structural information
generalization performance
Online Access:https://ieeexplore.ieee.org/document/8502046/

Internet

https://ieeexplore.ieee.org/document/8502046/

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