An adaptive online learning approach for Support Vector Regression: Online-SVR-FID

Jie Liu; Enrico Zio

doi:10.1016/j.ymssp.2016.02.056

Journal Articles Mechanical Systems and Signal Processing Year : 2016

An adaptive online learning approach for Support Vector Regression: Online-SVR-FID

(1) , (2, 3)

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Jie Liu

Function : Author
PersonId : 5685
IdHAL : jie-liu
ORCID : 0000-0003-0895-7598
IdRef : 18572390X

Ecole Centrale Paris

CV

Enrico Zio

Function : Author
PersonId : 7318
IdHAL : enrico-zio
ORCID : 0000-0002-7108-637X
IdRef : 11103096X

Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec

Politecnico di Milano [Milan]

CV

Domains

Artificial Intelligence [cs.AI]

Jie Liu : Connect in order to contact the contributor

https://hal-centralesupelec.archives-ouvertes.fr/hal-01408776

Submitted on : Monday, December 5, 2016-1:44:35 PM

Last modification on : Thursday, March 9, 2023-10:30:16 AM

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hal-01408776 , version 1 (05-12-2016)

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HAL Id : hal-01408776 , version 1
DOI : 10.1016/j.ymssp.2016.02.056

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Jie Liu, Enrico Zio. An adaptive online learning approach for Support Vector Regression: Online-SVR-FID. Mechanical Systems and Signal Processing, 2016, 76-77, pp.796 - 809. ⟨10.1016/j.ymssp.2016.02.056⟩. ⟨hal-01408776⟩

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An adaptive online learning approach for Support Vector Regression: Online-SVR-FID

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