The coordinate descent method with stochastic optimization for linear support vector machines

Neural Computing and Applications ◽

10.1007/s00521-012-1139-3 ◽

2012 ◽

Vol 22 (7-8) ◽

pp. 1261-1266 ◽

Author(s):

Tianyou Zheng ◽

Xun Liang ◽

Run Cao

Keyword(s):

Support Vector Machines ◽

Stochastic Optimization ◽

Descent Method ◽

Coordinate Descent ◽

Support Vector ◽

Coordinate Descent Method ◽

Vector Machines

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Stochastic optimization for learning Non-Convex Linear Support Vector Machines

2012 IEEE International Conference on Intelligent Control, Automatic Detection and High-End Equipment ◽

10.1109/icade.2012.6330094 ◽

2012 ◽

Author(s):

Jifei Chen ◽

Jiabao Wang ◽

Yafei Zhang ◽

Jianjiang Lu ◽

Yang Li

Keyword(s):

Support Vector Machines ◽

Stochastic Optimization ◽

Support Vector ◽

Vector Machines

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A coordinate gradient descent method for linearly constrained smooth optimization and support vector machines training

Computational Optimization and Applications ◽

10.1007/s10589-008-9215-4 ◽

2008 ◽

Vol 47 (2) ◽

pp. 179-206 ◽

Author(s):

Paul Tseng ◽

Sangwoon Yun

Keyword(s):

Support Vector Machines ◽

Gradient Descent ◽

Descent Method ◽

Support Vector ◽

Gradient Descent Method ◽

Vector Machines ◽

Coordinate Gradient Descent ◽

Linearly Constrained ◽

Smooth Optimization

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A clipping dual coordinate descent algorithm for solving support vector machines

Knowledge-Based Systems ◽

10.1016/j.knosys.2014.08.005 ◽

2014 ◽

Vol 71 ◽

pp. 266-278 ◽

Author(s):

Xinjun Peng ◽

Dongjing Chen ◽

Lingyan Kong

Keyword(s):

Support Vector Machines ◽

Coordinate Descent ◽

Support Vector ◽

Descent Algorithm ◽

Coordinate Descent Algorithm ◽

Vector Machines ◽

Dual Coordinate Descent

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On Stochastic Optimization and Statistical Learning in Reproducing Kernel Hilbert Spaces by Support Vector Machines (SVM)

Informatica ◽

10.15388/informatica.2009.250 ◽

2009 ◽

Vol 20 (2) ◽

pp. 273-292 ◽

Author(s):

Vladimir Norkin ◽

Michiel Keyzer

Keyword(s):

Support Vector Machines ◽

Stochastic Optimization ◽

Statistical Learning ◽

Hilbert Spaces ◽

Reproducing Kernel ◽

Reproducing Kernel Hilbert Spaces ◽

Support Vector ◽

Vector Machines ◽

Kernel Hilbert Spaces

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A Random Block Coordinate Descent Method for Multi-label Support Vector Machine

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-42042-9_36 ◽

2013 ◽

pp. 281-290 ◽

Author(s):

Jianhua Xu

Keyword(s):

Support Vector Machine ◽

Descent Method ◽

Coordinate Descent ◽

Support Vector ◽

Block Coordinate Descent ◽

Coordinate Descent Method ◽

Block Coordinate Descent Method ◽

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Stochastic Optimization Algorithms for Support Vector Machines Classification

Informatica ◽

10.15388/informatica.2009.244 ◽

2009 ◽

Vol 20 (2) ◽

pp. 173-186

Author(s):

Vaida Bartkutė-Norkūnienė

Keyword(s):

Support Vector Machines ◽

Stochastic Optimization ◽

Optimization Algorithms ◽

Support Vector ◽

Vector Machines ◽

Stochastic Optimization Algorithms

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Stochastic subgradient descent method for large-scale robust chance-constrained support vector machines

Optimization Letters ◽

10.1007/s11590-016-1026-4 ◽

2016 ◽

Vol 11 (5) ◽

pp. 1013-1024 ◽

Author(s):

Ximing Wang ◽

Neng Fan ◽

Panos M. Pardalos

Keyword(s):

Support Vector Machines ◽

Large Scale ◽

Descent Method ◽

Support Vector ◽

Vector Machines

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Multi-label Lagrangian support vector machine with random block coordinate descent method

Information Sciences ◽

10.1016/j.ins.2015.09.023 ◽

2016 ◽

Vol 329 ◽

pp. 184-205 ◽

Author(s):

Jianhua Xu

Keyword(s):

Support Vector Machine ◽

Descent Method ◽

Coordinate Descent ◽

Support Vector ◽

Block Coordinate Descent ◽

Coordinate Descent Method ◽

Block Coordinate Descent Method ◽

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Hyper-parameter optimization for support vector machines using stochastic gradient descent and dual coordinate descent

EURO Journal on Computational Optimization ◽

10.1007/s13675-019-00115-7 ◽

2019 ◽

Vol 8 (1) ◽

pp. 85-101 ◽

Author(s):

Wei Jiang ◽

Sauleh Siddiqui

Keyword(s):

Support Vector Machines ◽

Parameter Optimization ◽

Gradient Descent ◽

Coordinate Descent ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Support Vector ◽

Vector Machines ◽

Dual Coordinate Descent

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A stochastic optimization approach for parameter tuning of support vector machines

Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. ◽

10.1109/icpr.2004.1333843 ◽

2004 ◽

Author(s):

F. Imbault ◽

K. Lebart

Keyword(s):

Support Vector Machines ◽

Stochastic Optimization ◽

Parameter Tuning ◽

Support Vector ◽

Optimization Approach ◽

Vector Machines

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