Least Squares Twin Support Vector Machine for Multi-Class Classification-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Least Squares Twin Support Vector Machine for Multi-Class Classification

Published:2015-10-31 Issue:5 Volume:8 Page:65-76
ISSN:2005-4270
Container-title:International Journal of Database Theory and Application
language:
Short-container-title:IJDTA

Author:

Chen Sugen,Xu Juan

Publisher

NADIA

Subject

General Computer Science

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Design of a Treatment Method for Patients with Anxiety Disorders Based on Ball Games and Digital Technology Assistance;Security and Communication Networks;2022-04-13

2. Least Squares Twin Support Vector Machines to Classify End-Point Phosphorus Content in BOF Steelmaking;Metals;2022-01-31

3. Daily stress classification using functional near infrared spectroscopy;Journal of Physics: Conference Series;2021-05-01

4. Enhanced decision support system to predict and prevent hypertension using computational intelligence techniques;Soft Computing;2020-02-14

5. Intelligence – based decision support system for diagnosing the incidence of hypertensive type;Journal of Intelligent & Fuzzy Systems;2020-02-06

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