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Regression of survival data via twin support vector regression

Communications in statistics. Simulation and computation, 2022-09, Vol.51 (9), p.5126-5138

2022

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Kernel Methods and Hybrid Evolutionary Algorithms in Energy Forecasting

Hong, Wei-Chiang

2018

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Hybrid Advanced Optimization Methods with Evolutionary Computation Techniques in Energy Forecasting

Hong, Wei-Chiang

2018

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Long-term business cycle forecasting through a potential intuitionistic fuzzy least-squares support vector regression approach

Information sciences, 2013-03, Vol.224, p.37-48

2013

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Asymmetric ν-tube support vector regression

Computational statistics & data analysis, 2014-09, Vol.77, p.371-382

2014

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Kernel-free soft quadratic surface support vector regression

Information sciences, 2022-05, Vol.594, p.177-199

2022

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Incremental learning for ν-Support Vector Regression

Neural networks, 2015-07, Vol.67, p.140-150

2015

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Hybrid machine intelligent SVR variants for wind forecasting and ramp events

Renewable & sustainable energy reviews, 2019-07, Vol.108, p.369-379

2019

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Fault location for MMC–MTDC transmission lines based on least squares-support vector regression

Journal of engineering (Stevenage, England), 2019-03, Vol.2019 (16), p.2125-2130

2019

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Rough support vector regression

European journal of operational research, 2010-10, Vol.206 (2), p.445-455

2010

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An overview on twin support vector regression

Neurocomputing (Amsterdam), 2022-06, Vol.490, p.80-92

2022

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Short-Term Load Forecasting by Artificial Intelligent Technologies

2019

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Wavelet Transform and Variants of SVR with Application in Wind Forecasting

Innovations in Infrastructure, 2019, Vol.757, p.501-511

2019

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MBSVR: Multiple birth support vector regression

Information sciences, 2021-04, Vol.552, p.65-79

2021

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A Novel RBF Training Algorithm for Short-Term Electric Load Forecasting and Comparative Studies

IEEE transactions on industrial electronics (1982), 2015-10, Vol.62 (10), p.6519-6529

2015

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IEEE_Xplore

Machine Learning Regression Techniques for the Silage Maize Yield Prediction Using Time-Series Images of Landsat 8 OLI

IEEE journal of selected topics in applied earth observations and remote sensing, 2018-12, Vol.11 (12), p.4563-4577

2018

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Measurement Error Prediction of Power Metering Equipment Using Improved Local Outlier Factor and Kernel Support Vector Regression

IEEE transactions on industrial electronics (1982), 2022-09, Vol.69 (9), p.9575-9585

2022

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IEEE_Xplore

Accelerated Materials Design of Lithium Superionic Conductors Based on First-Principles Calculations and Machine Learning Algorithms

Advanced energy materials, 2013-08, Vol.3 (8), p.980-985

2013

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Improved Battery Cycle Life Prediction Using a Hybrid Data‐Driven Model Incorporating Linear Support Vector Regression and Gaussian

Chemphyschem, 2022-04, Vol.23 (7), p.e202100829-n/a

2022

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Twin proximal support vector regression with heteroscedastic Gaussian noise

Expert systems with applications, 2024-09, Vol.250, p.123840, Article 123840

2024

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Hybrid Advanced Techniques for Forecasting in Energy Sector

Hong, Wei-Chiang

2018

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Prediction of blasting mean fragment size using support vector regression combined with five optimization algorithms

Journal of Rock Mechanics and Geotechnical Engineering, 2021-12, Vol.13 (6), p.1380-1397

2021

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On robust asymmetric Lagrangian ν-twin support vector regression using pinball loss function

Applied soft computing, 2021-04, Vol.102, p.107099, Article 107099

2021

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On pairing Huber support vector regression

Applied soft computing, 2020-12, Vol.97, p.106708, Article 106708

2020

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Modeling and prediction of Turkey’s electricity consumption using Support Vector Regression

Applied energy, 2011, Vol.88 (1), p.368-375

Kavaklioglu, Kadir

2011

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Regression of survival data via twin support vector regression

Kernel Methods and Hybrid Evolutionary Algorithms in Energy Forecasting

Hybrid Advanced Optimization Methods with Evolutionary Computation Techniques in Energy Forecasting

Long-term business cycle forecasting through a potential intuitionistic fuzzy least-squares support vector regression approach

Asymmetric ν-tube support vector regression

Kernel-free soft quadratic surface support vector regression

Incremental learning for ν-Support Vector Regression

Hybrid machine intelligent SVR variants for wind forecasting and ramp events

Fault location for MMC–MTDC transmission lines based on least squares-support vector regression

Rough support vector regression

An overview on twin support vector regression

Short-Term Load Forecasting by Artificial Intelligent Technologies

Wavelet Transform and Variants of SVR with Application in Wind Forecasting

MBSVR: Multiple birth support vector regression

A Novel RBF Training Algorithm for Short-Term Electric Load Forecasting and Comparative Studies

Machine Learning Regression Techniques for the Silage Maize Yield Prediction Using Time-Series Images of Landsat 8 OLI

Measurement Error Prediction of Power Metering Equipment Using Improved Local Outlier Factor and Kernel Support Vector Regression

Accelerated Materials Design of Lithium Superionic Conductors Based on First-Principles Calculations and Machine Learning Algorithms

Improved Battery Cycle Life Prediction Using a Hybrid Data‐Driven Model Incorporating Linear Support Vector Regression and Gaussian

Twin proximal support vector regression with heteroscedastic Gaussian noise

Hybrid Advanced Techniques for Forecasting in Energy Sector

Prediction of blasting mean fragment size using support vector regression combined with five optimization algorithms

On robust asymmetric Lagrangian ν-twin support vector regression using pinball loss function

On pairing Huber support vector regression

Modeling and prediction of Turkey’s electricity consumption using Support Vector Regression

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