Incremental learning for Lagrangian ε-twin support vector regression
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-022-07755-9.pdf
Reference52 articles.
1. Ahmadi M, Jafarzadeh-Ghoushchi S, Taghizadeh R, Sharifi A (2019) Presentation of a new hybrid approach for forecasting economic growth using artificial intelligence approaches. Neural Comput Appl 31(12):8661–8680
2. Ahmadi M, Taghavirashidizadeh A, Javaheri D, Masoumian A, Jafarzadeh Ghoushchi S, Pourasad Y (2021) DQRE-SCnet: a novel hybrid approach for selecting users in federated learning with deep-Q-reinforcement learning based on spectral clustering. J King Saud Univ-Comput Inf Sci (in press)
3. Brugger D, Rosenstiel W, Bogdan M (2011) Online SVR training by solving the primal optimization problem. J Signal Process Syst 65:391–402
4. Burges CJC (1998) A tutorial on support vector machines for pattern recognition. Data Min Knowl Disc 2(2):121–167
5. Cao J, Gu BJ, Xiong WL, Pan F (2021) Incremental reduced least squares twin support vector regression. J Front Comput Sci Technol 15(3):553–563
Cited by 5 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. Optimization Design of Indoor Environmental Ventilation in Buildings Based on Improved SVR-PSO Model;Sustainability;2024-06-20
2. Predicting Team Success in the Indian Premier League Cricket 2024 Season Using Random Forest Analysis;Physical Education Theory and Methodology;2024-04-22
3. Cricket performance predictions: a comparative analysis of machine learning models for predicting cricket player’s performance in the One Day International (ODI) world cup 2023;Health, sport, rehabilitation;2024-03-17
4. Twin support vector quantile regression;Expert Systems with Applications;2024-03
5. Using Support Vector Regression Kernel Models for Cricket Performance Prediction in the Womens Premier League 2024;Physical Education Theory and Methodology;2024-02-29
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