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Research article

First published 2021-02-02

Risk spillover in financial markets based on support vector quantile regression

Wangsong Xie

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2018-12-24

Quantitative analysis of LIBS spectra using hybrid chemometric models through fusion of extreme learning machines and support vector regression

Taoreed O. Owolabi, Mohammed A. Gondal

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2010-6

Evaluation of Spectral Pretreatments,Partial Least Squares,Least Squares Support Vector Machines and Locally Weighted Regression for Quantitative Spectroscopic Analysis of Soils

Benoit Igne, James B. Reeves, Gregory McCarty [...]

Journal of Near Infrared Spectroscopy

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Research article

First published 2017-8

Kernel-based orthogonal quantile regression model

Jooyong Shim, Changha Hwang

Model Assisted Statistics and Applications

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Research article

First published 2018-11-20

On robust twin support vector regression in primal using squared pinball loss

P. Anagha, S. Balasundaram, Yogendra Meena

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Open access

Research article

First published 2024-12

Incident Delay Prediction in Urban Railway Systems: Methodology Review and Exploratory Comparative Analysis

Xin Chen, Zhenliang Ma, Wei Sun

Transportation Research Record: Journal of the Transportation Research Board

Free access

Research article

First published 2025-2

Machine learning-based approach for predicting the compressive strength of 3D printed hexagon lattice-cored sandwich structures

Narain Kumar Sivakumar, Kaaviya J, Sabarinathan Palaniyappan [...]

Journal of Thermoplastic Composite Materials

Search results

Risk spillover in financial markets based on support vector quantile regression

Quantitative analysis of LIBS spectra using hybrid chemometric models through fusion of extreme learning machines and support vector regression

Evaluation of Spectral Pretreatments,Partial Least Squares,Least Squares Support Vector Machines and Locally Weighted Regression for Quantitative Spectroscopic Analysis of Soils

Kernel-based orthogonal quantile regression model

On robust twin support vector regression in primal using squared pinball loss

Incident Delay Prediction in Urban Railway Systems: Methodology Review and Exploratory Comparative Analysis

Machine learning-based approach for predicting the compressive strength of 3D printed hexagon lattice-cored sandwich structures