A novel variable selection approach that iteratively optimizes variable space using weighted binary matrix sampling
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A novel variable selection approach that iteratively optimizes variable space using weighted binary matrix sampling
Authors
Keywords
-
Journal
ANALYST
Volume 139, Issue 19, Pages 4836
Publisher
Royal Society of Chemistry (RSC)
Online
2014-07-16
DOI
10.1039/c4an00730a
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A strategy that iteratively retains informative variables for selecting optimal variable subset in multivariate calibration
- (2013) Yong-Huan Yun et al. ANALYTICA CHIMICA ACTA
- Non-linear calibration models for near infrared spectroscopy
- (2013) Wangdong Ni et al. ANALYTICA CHIMICA ACTA
- Variable selection based on locally linear embedding mapping for near-infrared spectral analysis
- (2013) Ruifeng Shan et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- An efficient method of wavelength interval selection based on random frog for multivariate spectral calibration
- (2013) Yong-Huan Yun et al. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
- Random frog: An efficient reversible jump Markov Chain Monte Carlo-like approach for variable selection with applications to gene selection and disease classification
- (2012) Hong-Dong Li et al. ANALYTICA CHIMICA ACTA
- Multivariate calibration of near-infrared spectra by using influential variables
- (2012) Xueguang Shao et al. Analytical Methods
- Improving accuracy for cancer classification with a new algorithm for genes selection
- (2012) Hongyan Zhang et al. BMC BIOINFORMATICS
- Application of latent projective graph in variable selection for near infrared spectral analysis
- (2012) Xueguang Shao et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- A review of variable selection methods in Partial Least Squares Regression
- (2012) Tahir Mehmood et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Model-population analysis and its applications in chemical and biological modeling
- (2012) Hong-Dong Li et al. TRAC-TRENDS IN ANALYTICAL CHEMISTRY
- Noise incorporated subwindow permutation analysis for informative gene selection using support vector machines
- (2011) Qin Wang et al. ANALYST
- Recipe for uncovering predictive genes using support vector machines based on model population analysis
- (2011) Hong-Dong Li et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Bagging for robust non-linear multivariate calibration of spectroscopy
- (2010) Ke Wang et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Recipe for revealing informative metabolites based on model population analysis
- (2010) Hong-Dong Li et al. Metabolomics
- Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration
- (2009) Hongdong Li et al. ANALYTICA CHIMICA ACTA
- An ensemble of Monte Carlo uninformative variable elimination for wavelength selection
- (2008) Qing-Juan Han et al. ANALYTICA CHIMICA ACTA
- Bayesian linear regression and variable selection for spectroscopic calibration
- (2008) Tao Chen et al. ANALYTICA CHIMICA ACTA
- A variable elimination method to improve the parsimony of MLR models using the successive projections algorithm
- (2008) Roberto Kawakami Harrop Galvão et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Support vector machines and its applications in chemistry
- (2008) Hongdong Li et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now