Improving kriging surrogates of high-dimensional design models by Partial Least Squares dimension reduction

Mohamed Amine Bouhlel; Nathalie Bartoli; Abdelkader Otsmane; Joseph Morlier

doi:10.1007/s00158-015-1395-9

Improving kriging surrogates of high-dimensional design models by Partial Least Squares dimension reduction

Structural and Multidisciplinary Optimization ◽

10.1007/s00158-015-1395-9 ◽

2016 ◽

Vol 53 (5) ◽

pp. 935-952 ◽

Cited By ~ 62

Author(s):

Mohamed Amine Bouhlel ◽

Nathalie Bartoli ◽

Abdelkader Otsmane ◽

Joseph Morlier

Keyword(s):

Dimension Reduction ◽

Least Squares ◽

Partial Least Squares ◽

High Dimensional ◽

Design Models

Dimension Reduction and Regularization Combined with Partial Least Squares in High Dimensional Imaging Genetics Studies

Springer Proceedings in Mathematics & Statistics - New Perspectives in Partial Least Squares and Related Methods ◽

10.1007/978-1-4614-8283-3_9 ◽

2013 ◽

pp. 147-158 ◽

Cited By ~ 1

Author(s):

Edith Le Floch ◽

Laura Trinchera ◽

Vincent Guillemot ◽

Arthur Tenenhaus ◽

Jean-Baptiste Poline ◽

...

Keyword(s):

Dimension Reduction ◽

Least Squares ◽

Partial Least Squares ◽

Imaging Genetics ◽

High Dimensional

Discovering associations in high dimensional imaging-genetics data: A comparison study of dimension reduction and regularisation strategies combined with partial least squares

2012 9th IEEE International Symposium on Biomedical Imaging (ISBI) ◽

10.1109/isbi.2012.6235857 ◽

2012 ◽

Cited By ~ 1

Author(s):

E. Le Floch ◽

P. Pinel ◽

A. Tenenhaus ◽

L. Trinchera ◽

J. B. Poline ◽

...

Keyword(s):

Dimension Reduction ◽

Least Squares ◽

Partial Least Squares ◽

Imaging Genetics ◽

High Dimensional ◽

Comparison Study

Orthogonal projection weights in dimension reduction based on Partial Least Squares

International Journal of Computational Intelligence in Bioinformatics and Systems Biology ◽

10.1504/ijcibsb.2009.024065 ◽

2009 ◽

Vol 1 (1) ◽

pp. 100 ◽

Cited By ~ 2

Author(s):

Xue Qiang Zeng ◽

Guo Zheng Li ◽

Mary Qu Yang ◽

Geng Feng Wu ◽

Jack Y. Yang

Keyword(s):

Dimension Reduction ◽

Least Squares ◽

Partial Least Squares ◽

Orthogonal Projection

Naive Bayes combined with partial least squares for classification of high dimensional microarray data

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2022.104492 ◽

2022 ◽

pp. 104492

Author(s):

Tahir Mehmood ◽

Arzoo Kanwal ◽

Muhammad Moeen Butt

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Microarray Data ◽

Naive Bayes ◽

Naïve Bayes ◽

High Dimensional

A High Dimensional Input Data Processing Method for Load Forecasting Model Based on Tensor Partial Least Squares

2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS) ◽

10.1109/ddcls52934.2021.9455590 ◽

2021 ◽

Author(s):

Yu Feng ◽

Chao Tian

Keyword(s):

Data Processing ◽

Least Squares ◽

Partial Least Squares ◽

Input Data ◽

Load Forecasting ◽

Processing Method ◽

High Dimensional ◽

Forecasting Model ◽

Model Based ◽

Data Processing Method

Complexity Selection with Cross-validation for Lasso and Sparse Partial Least Squares Using High-Dimensional Data

Algorithms from and for Nature and Life - Studies in Classification, Data Analysis, and Knowledge Organization ◽

10.1007/978-3-319-00035-0_26 ◽

2013 ◽

pp. 261-268 ◽

Cited By ~ 7

Author(s):

Anne-Laure Boulesteix ◽

Adrian Richter ◽

Christoph Bernau

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Cross Validation ◽

High Dimensional Data ◽

High Dimensional

Efficient global optimization for high-dimensional constrained problems by using the Kriging models combined with the partial least squares method

Engineering Optimization ◽

10.1080/0305215x.2017.1419344 ◽

2018 ◽

Vol 50 (12) ◽

pp. 2038-2053 ◽

Cited By ~ 31

Author(s):

Mohamed Amine Bouhlel ◽

Nathalie Bartoli ◽

Rommel G. Regis ◽

Abdelkader Otsmane ◽

Joseph Morlier

Keyword(s):

Global Optimization ◽

Least Squares ◽

Partial Least Squares ◽

Least Squares Method ◽

High Dimensional ◽

Efficient Global Optimization ◽

Constrained Problems ◽

Partial Least Squares Method

Discriminant analysis of high-dimensional data: a comparison of principal components analysis and partial least squares data reduction methods

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/0169-7439(95)00090-9 ◽

1996 ◽

Vol 33 (1) ◽

pp. 47-61 ◽

Cited By ~ 165

Author(s):

E.K. Kemsley

Keyword(s):

Discriminant Analysis ◽

Least Squares ◽

Principal Components Analysis ◽

Partial Least Squares ◽

Principal Components ◽

Data Reduction ◽

High Dimensional Data ◽

High Dimensional ◽

Reduction Methods ◽

Components Analysis

Partial least squares dimension reduction for microarray gene expression data with a censored response

Mathematical Biosciences ◽

10.1016/j.mbs.2004.10.007 ◽

2005 ◽

Vol 193 (1) ◽

pp. 119-137 ◽

Cited By ~ 11

Author(s):

Danh V. Nguyen

Keyword(s):

Gene Expression ◽

Dimension Reduction ◽

Least Squares ◽

Partial Least Squares ◽

Gene Expression Data ◽

Microarray Gene Expression Data ◽

Expression Data ◽

Microarray Gene Expression ◽

Microarray Gene ◽

Censored Response

Dimension Reduction for p53 Protein Recognition by Using Incremental Partial Least Squares

IEEE Transactions on NanoBioscience ◽

10.1109/tnb.2014.2319234 ◽

2014 ◽

Vol 13 (2) ◽

pp. 73-79

Author(s):

Xue-Qiang Zeng ◽

Guo-Zheng Li

Keyword(s):

Dimension Reduction ◽

Least Squares ◽

Partial Least Squares ◽

P53 Protein ◽

Protein Recognition