Twin support vector machines: A survey-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Twin support vector machines: A survey

Published:2018-07 Issue: Volume:300 Page:34-43
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Huang Huajuan,Wei Xiuxi,Zhou Yongquan

Funder

National Natural Science Foundation

The Science and Technology Research Project of Guangxi University

Talent Research Projects of Guangxi University for Nationalities

Key Laboratory of Guangxi High Schools for Complex System & Computational Intelligence

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference163 articles.

1. Support vector networks;Cortes;Mach. Learn.,1995

2. Laplacian total margin support vector machine based on within-class scatter;Pei;Knowl. Based Syst.,2017

3. A hybrid SVM-PSO model for forecasting monthly streamflow;Sudheer;Neural Comput. Appl.,2014

4. Automatic moving object extraction through a real-world variable-bandwidth network for traffic monitoring system;Huang;IEEE Trans. Ind. Electron.,2014

5. Efficient HIK SVM learning for image classification;Wu;IEEE Trans. Image Process.,2012

Cited by 44 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. An Efficient and Non-Invasive Approach to Identify and Classify COVID-19 from CT Scan Images using Machine Learning in Combination with Hybrid Texture Features;2024-07-08

2. An Overview on the Advancements of Support Vector Machine Models in Healthcare Applications: A Review;Information;2024-04-19

3. Binary and Multi-label Machine Learning Models for Discrete-Time Survival Analysis: A Case Study to Predict Complications and Mortality in Thai Diabetic Patients;International Conference on Computing, Machine Learning and Data Science;2024-04-12

4. A noval approach of classification of COVID-19 from chest CT-Scan images using ensemble classifier in combination with cognition based texture features;Multimedia Tools and Applications;2024-03-05

5. An efficient approach for automated system to identify the rice crop disease using intensity level based multi-fractal dimension and twin support vector machine;Archives of Phytopathology and Plant Protection;2023-06-13

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