Abstract
In this paper. a novel algoritilln. referred to as Canonical Correlation Partial Least Squares or CCPLS is introduced. The core algorithm is based on the deflation procedure of partial least squares and the cost function of Canonical Correlation Analysis for detennining linear combinations of two sets of variables.
Original language | English |
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Pages (from-to) | 1603-1608 |
Number of pages | 6 |
Journal | IFAC Proceedings Volumes |
Volume | 36 |
Issue number | 16 |
DOIs | |
Publication status | Published - Sept 2003 |
Externally published | Yes |
Event | 13th IFAC Symposium on System Identification (SYSID 2003) - , Netherlands Duration: 27 Aug 2003 → 29 Aug 2003 |
Keywords
- Correlation Coefficients
- Covariance
- Identification Algorithms
- Least Squares Estimation
- Linear Systems
- Parameter Identification