Capped L2,p-norm metric based robust least squares twin support vector machine for pattern classification

2021 ◽  
Author(s):  
Chao Yuan ◽  
Liming Yang
Keyword(s):  
Support Vector Machine ◽  
Least Squares ◽  
Pattern Classification ◽  
Twin Support Vector Machine ◽  
Support Vector ◽  
Robust Least Squares

Entropy-Based Fuzzy Least Squares Twin Support Vector Machine for Pattern Classification

2019 ◽  
Vol 51 (1) ◽  
pp. 41-66 ◽  
Author(s):  
Sugen Chen ◽  
Junfeng Cao ◽  
Fenglin Chen ◽  
Bingbing Liu
Keyword(s):  
Support Vector Machine ◽  
Least Squares ◽  
Pattern Classification ◽  
Twin Support Vector Machine ◽  
Support Vector

scholarly journals Simulated annealing least squares twin support vector machine (SA-LSTSVM) for pattern classification

2016 ◽  
Vol 21 (15) ◽  
pp. 4361-4373 ◽  
Author(s):  
Javad Salimi Sartakhti ◽  
Homayun Afrabandpey ◽  
Mohamad Saraee
Keyword(s):  
Support Vector Machine ◽  
Simulated Annealing ◽  
Least Squares ◽  
Pattern Classification ◽  
Twin Support Vector Machine ◽  
Support Vector

Construct a robust least squares support vector machine based on Lp-norm and L∞-norm

2021 ◽  
Vol 99 ◽  
pp. 104134
Author(s):  
Ting Ke ◽  
Lidong Zhang ◽  
Xuechun Ge ◽  
Hui Lv ◽  
Min Li
Keyword(s):  
Support Vector Machine ◽  
Least Squares ◽  
Support Vector ◽  
Lp Norm ◽  
Robust Least Squares

Robust Parametric Twin Support Vector Machine for Pattern Classification

2017 ◽  
Vol 47 (1) ◽  
pp. 293-323 ◽  
Author(s):  
Reshma Rastogi ◽  
Sweta Sharma ◽  
Suresh Chandra
Keyword(s):  
Support Vector Machine ◽  
Pattern Classification ◽  
Twin Support Vector Machine ◽  
Support Vector

Multi-category laplacian least squares twin support vector machine

2016 ◽  
Vol 45 (2) ◽  
pp. 458-474 ◽  
Author(s):  
Reshma Khemchandani ◽  
Aman Pal
Keyword(s):  
Support Vector Machine ◽  
Least Squares ◽  
Twin Support Vector Machine ◽  
Support Vector
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