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....
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 35(2013), 7 vom: 15. Juli, Seite 1660-73
|
|---|
| 1. Verfasser: |
Zhao, Qibin
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Caiafa, Cesar F,
Mandic, Danilo P,
Chao, Zenas C,
Nagasaka, Yasuo,
Fujii, Naotaka,
Zhang, Liqing,
Cichocki, Andrzej |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2013
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
|
|---|
| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
|---|