Variable selection of higher-order partially linear spatial autoregressive model with a diverging number of parameters
Sign Up to like & getrecommendations! Published in 2021 at "Statistical Papers"
DOI: 10.1007/s00362-021-01241-4
Abstract: In this paper, we consider problem of variable selection in higher-order partially linear spatial autoregressive model with a diverging number of parameters. By combining series approximation method, two-stage least squares method and a class of… read more here.
Keywords: proposed variable; variable selection; selection method; spatial autoregressive ... See more keywords
Dynamic FDB selection method and its application: modeling and optimizing of directional overcurrent relays coordination
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02629-3
Abstract: This article has four main objectives. These are: to develop the dynamic fitness-distance balance (dFDB) selection method for meta-heuristic search algorithms, to develop a strong optimization algorithm using the dFDB method, to create an optimization… read more here.
Keywords: directional overcurrent; method; selection method; optimization ... See more keywords
Selection method for environmental equipment combination for paving work
Sign Up to like & getrecommendations! Published in 2017 at "KSCE Journal of Civil Engineering"
DOI: 10.1007/s12205-016-0899-1
Abstract: Against the background of accelerating global warming due to the effect of greenhouse gases, efforts to reduce greenhouse gas emissions are being made worldwide. Among public works, road construction, which involves numerous processes, leads to… read more here.
Keywords: work; construction; paving work; equipment combination ... See more keywords
Feature selection method based on support vector machine and shape analysis for high-throughput medical data
Sign Up to like & getrecommendations! Published in 2017 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2017.10.008
Abstract: Proteomics data analysis based on the mass-spectrometry technique can provide a powerful tool for early diagnosis of tumors and other diseases. It can be used for exploring the features that reflect the difference between samples… read more here.
Keywords: machine; feature selection; analysis; method ... See more keywords
An efficient online wkNN diagnostic strategy for variable refrigerant flow system based on coupled feature selection method
Sign Up to like & getrecommendations! Published in 2019 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2018.11.020
Abstract: Abstract The refrigerant leakage would occur in a multi-split variable refrigerant flow (VRF) system after years of operation, thus contributing to the inefficient operation and even increased energy consumption. Diagnosing the refrigerant charge amount (RCA)… read more here.
Keywords: system; feature selection; selection method; coupled feature ... See more keywords
An improved variable selection method for support vector regression in NIR spectral modeling
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Process Control"
DOI: 10.1016/j.jprocont.2017.06.001
Abstract: Abstract Support vector regression (SVR) has become increasingly popular in analyzing near-infrared spectroscopic data. As an alternative to the conventional partial least squares (PLS) methods, the advantages of SVR include better generalization performance and its… read more here.
Keywords: vector regression; support vector; selection; method ... See more keywords
A novel two-stage feature selection method based on random forest and improved genetic algorithm for enhancing classification in machine learning
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DOI: 10.1038/s41598-025-01761-1
Abstract: The data acquisition methods are becoming increasingly diverse and advanced, leading to higher data dimensions, blurred classification boundaries, and overfitting datasets, affecting machine learning models’ accuracy. Many studies have sought to improve model performance through… read more here.
Keywords: classification; feature; selection method; feature selection ... See more keywords
Proper magnetic materials selection method for AC filter inductor design used in single phase PWM inverters
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DOI: 10.1063/9.0000740
Abstract: The use of wide-bandgap devices such as SiC and GaN has improved the efficiency and power density of power converters compared with conventional Si devices. However, a significant portion of the efficiency loss and volume… read more here.
Keywords: method; materials selection; loss; magnetic materials ... See more keywords
A model-free variable selection method for reducing the number of redundant variables
Sign Up to like & getrecommendations! Published in 2018 at "Statistics"
DOI: 10.1080/02331888.2018.1515949
Abstract: ABSTRACT Under the sufficient dimension reduction () framework, we propose a model-free variable selection method for reducing the number of redundant predictors. The method adopts the distance correlation as a dependence measure to quantify the… read more here.
Keywords: free variable; method; selection method; variable selection ... See more keywords
Variable selection of partially functional linear spatial autoregressive model with a diverging number of parameters
Sign Up to like & getrecommendations! Published in 2024 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2024.2410382
Abstract: Abstract In this article, we consider variable selection of partially functional linear spatial autoregressive model with a diverging number of parameters, in which the explanatory variables include infinite dimensional predictor procedure, treated as functional data,… read more here.
Keywords: variable selection; selection partially; selection method; model ... See more keywords
A feature selection method with feature ranking using genetic programming
Sign Up to like & getrecommendations! Published in 2022 at "Connection Science"
DOI: 10.1080/09540091.2022.2049702
Abstract: Feature selection is a data processing method which aims to select effective feature subsets from original features. Feature selection based on evolutionary computation (EC) algorithms can often achieve better classification performance because of their global… read more here.
Keywords: selection method; feature; feature selection; feature ranking ... See more keywords