Higher order partial least squares (HOPLS) : a generalized multilinear regression method
A new generalized multilinear regression model, termed the higher order partial least squares (HOPLS), is introduced with the aim to predict a tensor (multiway array) Y from a tensor X through projecting the data onto the latent space and performing regression on the corresponding latent variables....
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 35(2013), 7 vom: 15. Juli, Seite 1660-73
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| Auteur principal: |
Zhao, Qibin
(Auteur) |
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| Autres auteurs: |
Caiafa, Cesar F,
Mandic, Danilo P,
Chao, Zenas C,
Nagasaka, Yasuo,
Fujii, Naotaka,
Zhang, Liqing,
Cichocki, Andrzej |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2013
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article
Research Support, Non-U.S. Gov't |
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