An overview on twin support vector machines

Author:

Ding Shifei,Yu Junzhao,Qi Bingjuan,Huang Huajuan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference40 articles.

1. Arjunan SP, Kumar DK, Naik GR (2010) A machine learning based method for classification of fractal features of forearm sEMG using twin support vector machines. Engineering in Medicine and Biology Society (EMBC), 2010 Annual international conference of the IEEE, pp 4821–4824

2. Chen C, Mangasarian OL (1995) Smoothing methods for convex inequalitiesand linear complementarity problems [J]. Math Program 71(1): 51–69

3. Chen J, Ji GR (2010) Weighted least squares twin support vector machines for pattern classification. 2010 The 2nd international conference on computer and automation engineering, Singapore: [s.n.], vol 2, pp 242–246

4. Cong HH, Yang CF, Pu XR (2008) Efficient speaker recognition based on multi-class twin support vector machines and GMMs. 2008 IEEE conference on robotics, automation and mechatronics, pp 348–352

5. Cristianini N, Taylor JS (2004) An introduction to support vector machines and other kernel-based learning methods (trans: Li G, Wang M, Zeng H). Publishing House of Electronics Industry, Beijing

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3