In-sample Model Selection for Trimmed Hinge Loss Support Vector Machine

Neural Processing Letters ◽

10.1007/s11063-012-9235-z ◽

2012 ◽

Vol 36 (3) ◽

pp. 275-283 ◽

Author(s):

Davide Anguita ◽

Alessandro Ghio ◽

Luca Oneto ◽

Sandro Ridella

Keyword(s):

Support Vector Machine ◽

Model Selection ◽

Support Vector ◽

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Efficient model selection for Support Vector Machine with Gaussian kernel function

2009 IEEE Symposium on Computational Intelligence and Data Mining ◽

10.1109/cidm.2009.4938627 ◽

2009 ◽

Author(s):

Yaohua Tang ◽

Weimin Guo ◽

Jinghuai Gao

Keyword(s):

Support Vector Machine ◽

Model Selection ◽

Kernel Function ◽

Gaussian Kernel ◽

Support Vector ◽

Gaussian Kernel Function ◽

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A GA-based model selection for smooth twin parametric-margin support vector machine

Pattern Recognition ◽

10.1016/j.patcog.2013.01.023 ◽

2013 ◽

Vol 46 (8) ◽

pp. 2267-2277 ◽

Author(s):

Zhen Wang ◽

Yuan-Hai Shao ◽

Tie-Ru Wu

Keyword(s):

Support Vector Machine ◽

Model Selection ◽

Support Vector ◽

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Model selection for support vector machine classification

Neurocomputing ◽

10.1016/s0925-2312(03)00375-8 ◽

2003 ◽

Vol 55 (1-2) ◽

pp. 221-249 ◽

Author(s):

Carl Gold ◽

Peter Sollich

Keyword(s):

Support Vector Machine ◽

Model Selection ◽

Support Vector ◽

Support Vector Machine Classification ◽

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Optimizing resources in model selection for support vector machine

Pattern Recognition ◽

10.1016/j.patcog.2006.06.012 ◽

2007 ◽

Vol 40 (3) ◽

pp. 953-963 ◽

Author(s):

Mathias M. Adankon ◽

Mohamed Cheriet

Keyword(s):

Support Vector Machine ◽

Model Selection ◽

Support Vector ◽

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Leave-one-out cross-validation-based model selection for multi-input multi-output support vector machine

Neural Computing and Applications ◽

10.1007/s00521-012-1234-5 ◽

2012 ◽

Vol 24 (2) ◽

pp. 441-451 ◽

Author(s):

Wentao Mao ◽

Xiaoxia Mu ◽

Yanbin Zheng ◽

Guirong Yan

Keyword(s):

Support Vector Machine ◽

Model Selection ◽

Cross Validation ◽

Support Vector ◽

Selection For ◽

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Feature gene selection for Chinese hamster classification based on support vector machine

Journal of Computer Applications ◽

10.3724/sp.j.1087.2011.00584 ◽

2011 ◽

Vol 31 (2) ◽

pp. 584-586

Author(s):

Jun-li YANG ◽

Tian-fu LIU

Keyword(s):

Support Vector Machine ◽

Gene Selection ◽

Chinese Hamster ◽

Support Vector ◽

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Application of Fuzzy Entropy to Improve Feature Selection for Defect Recognition Using Support Vector Machine in High Voltage Cable Joints

IEEE Transactions on Dielectrics and Electrical Insulation ◽

10.1109/tdei.2020.009055 ◽

2020 ◽

Vol 27 (6) ◽

pp. 2147-2155

Author(s):

Chien-Kuo Chang ◽

Bharath Kumar Boyanapalli ◽

Ruay-Nan Wu

Keyword(s):

Support Vector Machine ◽

Feature Selection ◽

High Voltage ◽

Fuzzy Entropy ◽

Support Vector ◽

Selection For ◽

Defect Recognition

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Metaheuristic techniques for Support Vector Machine model selection

2010 10th International Conference on Hybrid Intelligent Systems ◽

10.1109/his.2010.5600086 ◽

2010 ◽

Author(s):

James Blondin ◽

Ashraf Saad

Keyword(s):

Support Vector Machine ◽

Model Selection ◽

Support Vector Machine Model ◽

Support Vector ◽

Machine Model ◽

Metaheuristic Techniques

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Comparison of Damage Classification Between Recursive Bayesian Model Selection and Support Vector Machine

Model Validation and Uncertainty Quantification, Volume 3 - Conference Proceedings of the Society for Experimental Mechanics Series ◽

10.1007/978-3-319-15224-0_11 ◽

2015 ◽

pp. 105-112

Author(s):

Zhu Mao ◽

Michael Todd

Keyword(s):

Support Vector Machine ◽

Model Selection ◽

Bayesian Model ◽

Bayesian Model Selection ◽

Support Vector ◽

Damage Classification ◽

Recursive Bayesian

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Model selection for support vector machines: Advantages and disadvantages of the Machine Learning Theory

The 2010 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2010.5596450 ◽

2010 ◽

Author(s):

Davide Anguita ◽

Alessandro Ghio ◽

Noemi Greco ◽

Luca Oneto ◽

Sandro Ridella

Keyword(s):

Machine Learning ◽

Support Vector Machines ◽

Model Selection ◽

Learning Theory ◽

Support Vector ◽

Advantages And Disadvantages ◽

Vector Machines ◽

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