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Parallel algorithm for training multiclass proximal Support Vector Machines

Applied mathematics and computation, 2011-02, Vol.217 (12), p.5328-5337

Niu, Lingfeng

2011

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Nonparallel Support Vector Ordinal Regression

IEEE transactions on cybernetics, 2017-10, Vol.47 (10), p.3306-3317

2017

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IEEE_Xplore

Forward Prediction and Inverse Design of Nanophotonic Devices Based on Capsule Network

IEEE photonics journal, 2022-08, Vol.14 (4), p.1-8

2022

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Learning Robust Auto-Encoders With Regularizer for Linearity and Sparsity

IEEE access, 2019, Vol.7, p.17195-17206

2019

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DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation

IEEE transactions on cybernetics, 2022-02, Vol.52 (2), p.912-924

2022

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IEEE_Xplore

Adaboost-LLP: A Boosting Method for Learning With Label Proportions

IEEE transaction on neural networks and learning systems, 2018-08, Vol.29 (8), p.3548-3559

2018

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IEEE_Xplore

Fast kernel extreme learning machine for ordinal regression

Knowledge-based systems, 2019-08, Vol.177, p.44-54

2019

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Nonlinear L-1 Support Vector Machines for Learning Using Privileged Information

2012 IEEE 12th International Conference on Data Mining Workshops, 2012, p.495-499

2012

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IEEE_Xplore

Large-Scale Linear Support Vector Ordinal Regression Solver

2015 IEEE International Conference on Data Mining Workshop (ICDMW), 2015, p.1177-1184

2015

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IEEE_Xplore

A First-Order Decomposition Algorithm for Training Bound-Constrained Support Vector Machines

2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2014, Vol.2, p.436-441

2014

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A Survey of Sparse-Learning Methods for Deep Neural Networks

2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 2018, p.647-650

2018

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IEEE_Xplore

Pedestrian Detection Using Privileged Information

2015 IEEE International Conference on Data Mining Workshop (ICDMW), 2015, p.1185-1188

2015

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IEEE_Xplore

Compact Deep Neural Networks with ℓ1,1 and ℓ1,2 Regularization

2018 IEEE International Conference on Data Mining Workshops (ICDMW), 2018, p.1248-1254

2018

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IEEE_Xplore

Using Projection Gradient Method to Train Linear Support Vector Machines

2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2010, Vol.3, p.207-210

2010

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IEEE_Xplore

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Parallel algorithm for training multiclass proximal Support Vector Machines

Nonparallel Support Vector Ordinal Regression

Forward Prediction and Inverse Design of Nanophotonic Devices Based on Capsule Network

Learning Robust Auto-Encoders With Regularizer for Linearity and Sparsity

DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation

Adaboost-LLP: A Boosting Method for Learning With Label Proportions

Fast kernel extreme learning machine for ordinal regression

Nonlinear L-1 Support Vector Machines for Learning Using Privileged Information

Large-Scale Linear Support Vector Ordinal Regression Solver

A First-Order Decomposition Algorithm for Training Bound-Constrained Support Vector Machines

A Survey of Sparse-Learning Methods for Deep Neural Networks

Pedestrian Detection Using Privileged Information

Compact Deep Neural Networks with ℓ1,1 and ℓ1,2 Regularization

Using Projection Gradient Method to Train Linear Support Vector Machines

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