On robust asymmetric Lagrangian ν-twin support vector regression using pinball loss function-Reference-Cited by-同舟云学术

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On robust asymmetric Lagrangian ν-twin support vector regression using pinball loss function

Published:2021-04 Issue: Volume:102 Page:107099
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Gupta Deepak^ORCID,Gupta Umesh^ORCID

Funder

Science and Engineering Research Board

Publisher

Elsevier BV

Subject

Software

Reference73 articles.

1. Support-vector networks;Corinna;Mach. Learn.,1995

2. Kernel target alignment based fuzzy least square twin bounded support vector machine;Gupta,2018

3. Lagrangian Twin-bounded support vector machine based on L2-norm;Gupta,2019

4. A class of new support vector regression models;Anand;Appl. Soft Comput.,2020

5. On pairing huber support vector regression;Balasundaram;Appl. Soft Comput.,2020

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