A new method for wavelength interval selection that intelligently optimizes the locations, widths and combinations of the intervals.

about

The model adaptive space shrinkage (MASS) approach: a new method for simultaneous variable selection and outlier detection based on model population analysis.

P2860

Q39584040-6F08C739-F586-482E-98CF-BB9D63AEAF46

P2860

A new method for wavelength interval selection that intelligently optimizes the locations, widths and combinations of the intervals.

Item

http://www.wikidata.org/entity/Q41458476

description

2015 nî lūn-bûn

@nan

2015年の論文

@ja

2015年論文

@yue

2015年論文

@zh-hant

2015年論文

@zh-hk

2015年論文

@zh-mo

2015年論文

@zh-tw

2015年论文

@wuu

2015年论文

@zh

2015年论文

@zh-cn

name

A new method for wavelength in ...... combinations of the intervals.

@en

type

Item

label

A new method for wavelength in ...... combinations of the intervals.

@en

prefLabel

A new method for wavelength in ...... combinations of the intervals.

@en

P1476

A new method for wavelength in ...... combinations of the intervals.

@en

P2093

Bai-Chuan Deng

http://www.w3.org/2001/XMLSchema#string

Chen-Chen Lin

http://www.w3.org/2001/XMLSchema#string

Da-Bing Ren

http://www.w3.org/2001/XMLSchema#string

Pan Ma

http://www.w3.org/2001/XMLSchema#string

Yi-Zeng Liang

http://www.w3.org/2001/XMLSchema#string

Yong-Huan Yun

http://www.w3.org/2001/XMLSchema#string

P2860

Wavelength interval selection in multicomponent spectral analysis by moving window partial least-squares regression with applications to mid-infrared and near-infrared spectroscopic data.

Discriminating variable test and selectivity ratio plot: quantitative tools for interpretation and variable (biomarker) selection in complex spectral or chromatographic profiles.

Improving accuracy for cancer classification with a new algorithm for genes selection.

Statistical challenges of high-dimensional data.

Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration.

An efficient method of wavelength interval selection based on random frog for multivariate spectral calibration.

A perspective demonstration on the importance of variable selection in inverse calibration for complex analytical systems.

An ensemble of Monte Carlo uninformative variable elimination for wavelength selection.

Forward selection of explanatory variables.

A strategy that iteratively retains informative variables for selecting optimal variable subset in multivariate calibration.

P304

1876-1885

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1039/C4AN02123A

http://www.w3.org/2001/XMLSchema#string

P433

http://www.w3.org/2001/XMLSchema#string

P478

140

http://www.w3.org/2001/XMLSchema#string

P577

2015-03-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

272096472

http://www.w3.org/2001/XMLSchema#string

P698

25665981

http://www.w3.org/2001/XMLSchema#string

A new method for wavelength interval selection that intelligently optimizes the locations, widths and combinations of the intervals.

about

P2860

P2860

A new method for wavelength interval selection that intelligently optimizes the locations, widths and combinations of the intervals.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P577

P5875

P698

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P577

P5875

P698