Partial least squares regression (PLS regression) is a statistical method that bears some relation to principal components regression; instead ofâ€¦Â (More)

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2012

2012

- Inge S. Helland
- 2012

4 We build connections between envelopes, a recently proposed context for efficient estima5 tion in multivariate statistics, andâ€¦Â (More)

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2010

Highly Cited

2010

- Elina Helander, Tuomas Virtanen, Jani Nurminen, Moncef Gabbouj
- IEEE Transactions on Audio, Speech, and Languageâ€¦
- 2010

Voice conversion can be formulated as finding a mapping function which transforms the features of the source speaker to those ofâ€¦Â (More)

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2010

Highly Cited

2010

- Hyonho Chun, SÃ¼ndÃ¼z Keles
- Journal of the Royal Statistical Society. Seriesâ€¦
- 2010

Partial least squares regression has been an alternative to ordinary least squares for handling multicollinearity in severalâ€¦Â (More)

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2008

Highly Cited

2008

- Hiroto Saigo, Nicole KrÃ¤mer, Koji Tsuda
- KDD
- 2008

Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. Aâ€¦Â (More)

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2007

Highly Cited

2007

The pls package implements principal component regression (PCR) and partial least squares regression (PLSR) in R (R Developmentâ€¦Â (More)

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2005

2005

Recently, there has been an increased attention in the literature on the use of ensemble methods in multivariate regression andâ€¦Â (More)

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2003

2003

- Marcel Hubert
- 2003

Partial Least Squares Regression (PLSR) is a linear regression technique developed to deal with high-dimensional regressors andâ€¦Â (More)

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2002

2002

Partial least squares (PLS) regression is a powerful and frequently applied technique in multivariate statistical process controlâ€¦Â (More)

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2001

Highly Cited

2001

- Roman Rosipal, Leonard J. Trejo
- Journal of Machine Learning Research
- 2001

A family of regularized least squares regression models in a Reproducing Kernel Hilbert Space is extended by the kernel partialâ€¦Â (More)

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1996

Highly Cited

1996

Partial least squares is a popular method for soft modelling in industrial applications. This paper introduces the basic conceptsâ€¦Â (More)

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