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MLTSVM: A novel twin support vector machine to multi-label learning

Pattern recognition, 2016-04, Vol.52, p.61-74

2016

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Twin Support Vector Machine for Clustering

IEEE transaction on neural networks and learning systems, 2015-10, Vol.26 (10), p.2583-2588

2015

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A novel regularization method for decorrelation learning of non-parallel hyperplanes

Information sciences, 2024-05, Vol.667, p.120461, Article 120461

2024

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Twin SVM for conditional probability estimation in binary and multiclass classification

Pattern recognition, 2023-04, Vol.136, p.109253, Article 109253

2023

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Classification by Estimating the Cumulative Distribution Function for Small Data

IEEE access, 2023, Vol.11, p.41142-41157

2023

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Feature selection for high‐dimensional regression via sparse LSSVR based on Lp‐norm

International journal of intelligent systems, 2021-02, Vol.36 (2), p.1108-1130

2021

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Ramp-based twin support vector clustering

Neural computing & applications, 2020-07, Vol.32 (14), p.9885-9896

2020

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Large-Scale Structured Output Classification via Multiple Structured Support Vector Machine by Splitting

IEEE transactions on emerging topics in computational intelligence, 2024-04, Vol.8 (2), p.2112-2124

2024

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Volatility forecasting using deep neural network with time-series feature embedding

Economic research - Ekonomska istraživanja, 2023-03, Vol.36 (1), p.1377-1401

2023

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Improved Generalized Eigenvalue Proximal Support Vector Machine

IEEE signal processing letters, 2013-03, Vol.20 (3), p.213-216

2013

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Development of a high-efficiency sex pheromone formula to control Euproctis pseudoconspersa

Journal of Integrative Agriculture, 2023-01, Vol.22 (1), p.195-201

2023

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Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers

IEEE transaction on neural networks and learning systems, 2020-03, Vol.31 (3), p.915-926

2020

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L₂,₁-Norm Regularized Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers

IEEE access, 2023, Vol.11, p.34250-34259

2023

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Nonparallel hyperplane support vector machine for binary classification problems

Information sciences, 2014-04, Vol.263, p.22-35

2014

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Robust Rescaled Hinge Loss Twin Support Vector Machine for Imbalanced Noisy Classification

IEEE access, 2019, Vol.7, p.65390-65404

2019

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Robust multi-view discriminant analysis with view-consistency

Information sciences, 2022-06, Vol.596, p.153-168

2022

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Robust L1-norm two-dimensional linear discriminant analysis

Neural networks, 2015-05, Vol.65, p.92-104

2015

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MPMSVC: Multiple Parametric-Margin Support Vector Clustering

IEEE access, 2021, Vol.9, p.24499-24512

2021

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A Multiclass Nonparallel Parametric-Margin Support Vector Machine

Information (Basel), 2021-12, Vol.12 (12), p.515

2021

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Insensitive stochastic gradient twin support vector machines for large scale problems

Information sciences, 2018-09, Vol.462, p.114-131

2018

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Large-scale robust regression with truncated loss via majorization-minimization algorithm

European journal of operational research, 2024-12, Vol.319 (2), p.494-504

2024

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An efficient weighted Lagrangian twin support vector machine for imbalanced data classification

Pattern recognition, 2014-09, Vol.47 (9), p.3158-3167

2014

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Generalized two-dimensional linear discriminant analysis with regularization

Neural networks, 2021-10, Vol.142, p.73-91

2021

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Robust bilateral Lp-norm two-dimensional linear discriminant analysis

Information sciences, 2019-10, Vol.500, p.274-297

2019

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Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding

Knowledge-based systems, 2019-01, Vol.163, p.227-240

2019

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MLTSVM: A novel twin support vector machine to multi-label learning

Twin Support Vector Machine for Clustering

A novel regularization method for decorrelation learning of non-parallel hyperplanes

Twin SVM for conditional probability estimation in binary and multiclass classification

Classification by Estimating the Cumulative Distribution Function for Small Data

Feature selection for high‐dimensional regression via sparse LSSVR based on Lp‐norm

Ramp-based twin support vector clustering

Large-Scale Structured Output Classification via Multiple Structured Support Vector Machine by Splitting

Volatility forecasting using deep neural network with time-series feature embedding

Improved Generalized Eigenvalue Proximal Support Vector Machine

Development of a high-efficiency sex pheromone formula to control Euproctis pseudoconspersa

Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers

L₂,₁-Norm Regularized Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers

Nonparallel hyperplane support vector machine for binary classification problems

Robust Rescaled Hinge Loss Twin Support Vector Machine for Imbalanced Noisy Classification

Robust multi-view discriminant analysis with view-consistency

Robust L1-norm two-dimensional linear discriminant analysis

MPMSVC: Multiple Parametric-Margin Support Vector Clustering

A Multiclass Nonparallel Parametric-Margin Support Vector Machine

Insensitive stochastic gradient twin support vector machines for large scale problems

Large-scale robust regression with truncated loss via majorization-minimization algorithm

An efficient weighted Lagrangian twin support vector machine for imbalanced data classification

Generalized two-dimensional linear discriminant analysis with regularization

Robust bilateral Lp-norm two-dimensional linear discriminant analysis

Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding

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