On-line twin independent support vector machines
详细信息 查看全文
- 作者：Fatemeh Alamdar fatemeh.alamdar@znu.ac.ir" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Sara Ghane sara.ghane@znu.ac.ir" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Ali Amiri ; a_amiri@znu.ac.ir" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Support vector machines ; Twin support vector machines ; On-line learning ; Linear independence and classification
- 刊名：Neurocomputing
- 出版年：2016
- 出版时间：19 April 2016
- 年：2016
- 卷：186
- 期：Complete
- 页码：8-21
- 全文大小：1229 K
文摘
- •
On-line twin independent support vector machine (OTWISVM) is proposed.
- •
OTWISWM uses way two nonparallel hyper planes as decision functions.
- •
The hyperplanes are described by SVs and are updated when new sample is received.
- •
The SVs are constructed as a set of linearly independent samples iteratively.
- •
Assessments confirm effectiveness of OTWISVM on conventional and noisy data.