Regression-Based Hyperparameter Learning for Support Vector Machines-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Regression-Based Hyperparameter Learning for Support Vector Machines

Published:2023 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Peng Shili¹^ORCID,Wang Wenwu²^ORCID,Chen Yinli¹,Zhong Xueling¹,Hu Qinghua³^ORCID

Affiliation:

1. School of Internet Finance and Information Engineering, Guangdong University of Finance, Guangzhou, China

2. Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K.

3. College of Intelligence and Computing, Tianjin University, Tianjin, China

Funder

National Natural Science Foundation of China

Key Project of the Humanities and Social Sciences Research in Universities of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10286874.pdf?arnumber=10286874

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. Prediction of coal gangue volcanic ash activity based on machine learning;Construction and Building Materials;2024-09

2. Prediction of influenza outbreaks in Fuzhou, China: comparative analysis of forecasting models;BMC Public Health;2024-05-25

3. Development and application of a machine learning-based predictive model for obstructive sleep apnea screening;Frontiers in Big Data;2024-05-16

4. An Autoencoder-Based Support Vector Machine Optimized with Bayesian Optimization for Net Load Forecasting with Uncertainty Estimation;2024 28th International Electrical Power Distribution Conference (EPDC);2024-04-23

5. Enhancing PHM System of Aircraft Generator with Machine Learning-Driven Faults Classification;2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS);2024-01-28

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