Iteratively variable subset optimization for multivariate calibration
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Iteratively variable subset optimization for multivariate calibration
Authors
Keywords
-
Journal
RSC Advances
Volume 5, Issue 116, Pages 95771-95780
Publisher
Royal Society of Chemistry (RSC)
Online
2015-10-27
DOI
10.1039/c5ra08455e
References
Ask authors/readers for more resources
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
- (2015) Bai-Chuan Deng et al. ANALYST
- Using variable combination population analysis for variable selection in multivariate calibration
- (2015) Yong-Huan Yun et al. ANALYTICA CHIMICA ACTA
- A new strategy to prevent over-fitting in partial least squares models based on model population analysis
- (2015) Bai-Chuan Deng et al. ANALYTICA CHIMICA ACTA
- A novel hybrid system for feature selection based on an improved gravitational search algorithm and k-NN method
- (2015) Jie Xiang et al. APPLIED SOFT COMPUTING
- Relevance–redundancy feature selection based on ant colony optimization
- (2015) Sina Tabakhi et al. PATTERN RECOGNITION
- A novel variable selection approach that iteratively optimizes variable space using weighted binary matrix sampling
- (2014) Bai-chuan Deng et al. ANALYST
- Firefly as a novel swarm intelligence variable selection method in spectroscopy
- (2014) Mohammad Goodarzi et al. ANALYTICA CHIMICA ACTA
- Variable importance in latent variable regression models
- (2014) Olav M. Kvalheim et al. JOURNAL OF CHEMOMETRICS
- A perspective demonstration on the importance of variable selection in inverse calibration for complex analytical systems
- (2013) Yong-Huan Yun et al. ANALYST
- A strategy that iteratively retains informative variables for selecting optimal variable subset in multivariate calibration
- (2013) Yong-Huan Yun et al. ANALYTICA CHIMICA ACTA
- Assessing feature relevance in NPLS models by VIP
- (2013) Stefania Favilla et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- A simple idea on applying large regression coefficient to improve the genetic algorithm-PLS for variable selection in multivariate calibration
- (2013) Yong-Huan Yun 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
- Improving accuracy for cancer classification with a new algorithm for genes selection
- (2012) Hongyan Zhang et al. BMC BIOINFORMATICS
- A new and efficient variable selection algorithm based on ant colony optimization. Applications to near infrared spectroscopy/partial least-squares analysis
- (2011) Franco Allegrini et al. ANALYTICA CHIMICA ACTA
- Interpretation of partial least squares regression models by means of target projection and selectivity ratio plots
- (2010) Olav M. Kvalheim JOURNAL OF CHEMOMETRICS
- Variable selection in regression-a tutorial
- (2010) C. M. Andersen et al. JOURNAL OF CHEMOMETRICS
- 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
- A variable selection method based on uninformative variable elimination for multivariate calibration of near-infrared spectra
- (2007) Wensheng Cai 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