Twin Bounded Weighted Relaxed Support Vector Machines-Reference-Cited by-同舟云学术

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Twin Bounded Weighted Relaxed Support Vector Machines

Published:2019 Issue: Volume:7 Page:22260-22275
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alamdar Fatemeh^ORCID,Sheykh Mohammadi Fatemeh,Amiri Ali^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08637746.pdf?arnumber=8637746

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1. Improved twin support vector machine algorithm and applications in classification problems;China Communications;2024-05

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3. Dynamic Analysis and Machine Learning Prediction of a Nonuniform Slot Air Bearing System;Journal of Computational and Nonlinear Dynamics;2022-11-23

4. A Stacking Learning Model Based on Multiple Similar Days for Short-Term Load Forecasting;Mathematics;2022-07-13

5. Detection of Forged Currency Notes using Machine learning algorithms;2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES);2022-05-20

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