Related references
Note: Only part of the references are listed.A new method for wavelength interval selection that intelligently optimizes the locations, widths and combinations of the intervals
Bai-Chuan Deng et al.
ANALYST (2015)
Using variable combination population analysis for variable selection in multivariate calibration
Yong-Huan Yun et al.
ANALYTICA CHIMICA ACTA (2015)
A new strategy to prevent over-fitting in partial least squares models based on model population analysis
Bai-Chuan Deng et al.
ANALYTICA CHIMICA ACTA (2015)
A novel hybrid system for feature selection based on an improved gravitational search algorithm and k-NN method
Jie Xiang et al.
APPLIED SOFT COMPUTING (2015)
Relevance-redundancy feature selection based on ant colony optimization
Sina Tabakhi et al.
PATTERN RECOGNITION (2015)
A novel variable selection approach that iteratively optimizes variable space using weighted binary matrix sampling
Bai-chuan Deng et al.
ANALYST (2014)
Firefly as a novel swarm intelligence variable selection method in spectroscopy
Mohammad Goodarzi et al.
ANALYTICA CHIMICA ACTA (2014)
A strategy that iteratively retains informative variables for selecting optimal variable subset in multivariate calibration
Yong-Huan Yun et al.
ANALYTICA CHIMICA ACTA (2014)
A simple idea on applying large regression coefficient to improve the genetic algorithm-PLS for variable selection in multivariate calibration
Yong-Huan Yun et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2014)
Variable importance in latent variable regression models
Olav M. Kvalheim et al.
JOURNAL OF CHEMOMETRICS (2014)
A perspective demonstration on the importance of variable selection in inverse calibration for complex analytical systems
Yong-Huan Yun et al.
ANALYST (2013)
Assessing feature relevance in NPLS models by VIP
Stefania Favilla et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2013)
An efficient method of wavelength interval selection based on random frog for multivariate spectral calibration
Yong-Huan Yun et al.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY (2013)
Improving accuracy for cancer classification with a new algorithm for genes selection
Hongyan Zhang et al.
BMC BIOINFORMATICS (2012)
A new and efficient variable selection algorithm based on ant colony optimization. Applications to near infrared spectroscopy/partial least-squares analysis
Franco Allegrini et al.
ANALYTICA CHIMICA ACTA (2011)
Interpretation of partial least squares regression models by means of target projection and selectivity ratio plots
Olav M. Kvalheim
JOURNAL OF CHEMOMETRICS (2010)
Variable selection in regression-a tutorial
C. M. Andersen et al.
JOURNAL OF CHEMOMETRICS (2010)
Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration
Hongdong Li et al.
ANALYTICA CHIMICA ACTA (2009)
An ensemble of Monte Carlo uninformative variable elimination for wavelength selection
Qing-Juan Han et al.
ANALYTICA CHIMICA ACTA (2008)
A variable selection method based on uninformative variable elimination for multivariate calibration of near-infrared spectra
Wensheng Cai et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2008)
The Dantzig selector:: Statistical estimation when p is much larger than n
Emmanuel Candes et al.
ANNALS OF STATISTICS (2007)
Regularization and variable selection via the elastic net
H Zou et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2005)
Wavelength interval selection in multicomponent spectral analysis by moving window partial least-squares regression with applications to mid-infrared and hear-infrared spectroscopic data
JH Jiang et al.
ANALYTICAL CHEMISTRY (2002)
PLS-regression:: a basic tool of chemometrics
S Wold et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2001)
The successive projections algorithm for variable selection in spectroscopic multicomponent analysis
MCU Araújo et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2001)
Generalized PLS regression
QS Xu et al.
JOURNAL OF CHEMOMETRICS (2001)