✦ LIBER ✦

Boosting Partial Least Squares

✍ Scribed by Zhang, M. H.; Xu, Q. S.; Massart, D. L.

Book ID: 126188257
Publisher: American Chemical Society
Year: 2005
Tongue: English
Weight: 430 KB
Volume: 77
Category: Article
ISSN: 0003-2700
DOI: 10.1021/ac048561m

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Boosting the partial least square algori

Boosting the partial least square algorithm for regression modelling

✍ Ling Yu; Tiejun Wu 📂 Article 📅 2006 🏛 South China University of Technology and Academy o 🌐 English ⚖ 148 KB

Partial-Least Squares

✍ James Robins 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 56 KB

Handbook of Partial Least Squares || Edi

Handbook of Partial Least Squares || Editorial: Perspectives on Partial Least Squares

✍ Esposito Vinzi, Vincenzo; Chin, Wynne W.; Henseler, Jörg; Wang, Huiwen 📂 Article 📅 2009 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 481 KB

Partial Least Squares is a family of regression based methods designed for the an- ysis of high dimensional data in a low-structure environment. Its origin lies in the sixties, seventies and eighties of the previous century, when Herman O. A. Wold vigorously pursued the creation and construction of

Implementing partial least squares

✍ M. C. Denham 📂 Article 📅 1995 🏛 Springer US 🌐 English ⚖ 937 KB

Partial least squares (PLS) regression has been proposed as an alternative regression technique to more traditional approaches such as principal components regression and ridge regression. A number of algorithms have appeared in the literature which have been shown to be equivalent. Someone wishing

Partial Least Squares Revisited

✍ Robins, James A. 📂 Article 📅 2014 🏛 Elsevier Science 🌐 English ⚖ 102 KB

Partial total least squares algorithm

✍ Sabine Van Huffel 📂 Article 📅 1990 🏛 Elsevier Science 🌐 English ⚖ 671 KB