A geometry-based two-step method for nonlinear classification using quasi-linear support vector machine-Reference-Cited by-同舟云学术

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A geometry-based two-step method for nonlinear classification using quasi-linear support vector machine

Published:2017-07-14 Issue:6 Volume:12 Page:883-890
ISSN:1931-4973
Container-title:IEEJ Transactions on Electrical and Electronic Engineering
language:en
Short-container-title:IEEJ Trans Elec Electron Eng

Author:

Li Weite¹²,Zhou Bo¹,Chen Benhui³,Hu Jinglu¹

Affiliation:

1. Graduate School of Information, Production and Systems; Waseda University; Kitakyushu-shi 808-0135 Japan

2. School of Electrical Engineering; University of Electronic Science and Technology of China; Chengdu, Sichuan 611731 China

3. School of Mathematics and Computer Science; Dali University; Dali, Yunnan Province China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Reference33 articles.

1. Support-vector networks;Cortes;Machine learning,1995

2. Hierarchical multi-label prediction of gene function;Barutcuoglu;Bioinformatics,2006

3. Diplaris Diplaris Tsoumakas Tsoumakas Mitkas Mitkas Vlahavas Vlahavas Proceedings of the 10th Panhellenic Conference on Informatics (PCI'05) 2005 448 456

4. Piecewise linear classifiers with an appropriate number of hyperplanes;Tenmoto;Pattern Recognition,1998

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2. An autoencoder‐based piecewise linear model for nonlinear classification using quasilinear support vector machines;IEEJ Transactions on Electrical and Electronic Engineering;2019-05-27

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