Indefinite Twin Support Vector Machine with DC Functions Programming

2021 ◽  
pp. 108195
Author(s):  
Yuexuan An ◽  
Hui Xue
Keyword(s):  
Support Vector Machine ◽  
Twin Support Vector Machine ◽  
Support Vector ◽  
Dc Functions

scholarly journals Intuitionistic Fuzzy Laplacian Twin Support Vector Machine for Semi-supervised Classification

2021 ◽  
Author(s):  
Jia-Bin Zhou ◽  
Yan-Qin Bai ◽  
Yan-Ru Guo ◽  
Hai-Xiang Lin
Keyword(s):  
Support Vector Machine ◽  
Negative Impact ◽  
Twin Support Vector Machine ◽  
Fuzzy Membership ◽  
Support Vector ◽  
Membership Functions ◽  
Fuzzy Membership Functions ◽  
Intuitionistic Fuzzy ◽  
Benchmark Datasets ◽  
The Impact

AbstractIn general, data contain noises which come from faulty instruments, flawed measurements or faulty communication. Learning with data in the context of classification or regression is inevitably affected by noises in the data. In order to remove or greatly reduce the impact of noises, we introduce the ideas of fuzzy membership functions and the Laplacian twin support vector machine (Lap-TSVM). A formulation of the linear intuitionistic fuzzy Laplacian twin support vector machine (IFLap-TSVM) is presented. Moreover, we extend the linear IFLap-TSVM to the nonlinear case by kernel function. The proposed IFLap-TSVM resolves the negative impact of noises and outliers by using fuzzy membership functions and is a more accurate reasonable classifier by using the geometric distribution information of labeled data and unlabeled data based on manifold regularization. Experiments with constructed artificial datasets, several UCI benchmark datasets and MNIST dataset show that the IFLap-TSVM has better classification accuracy than other state-of-the-art twin support vector machine (TSVM), intuitionistic fuzzy twin support vector machine (IFTSVM) and Lap-TSVM.

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

Classification of Edge Distortion of Tooth Profile Image Based on Improved Twin Support Vector Machine

2020 ◽  
Vol 49 (10) ◽  
pp. 1015002-1015002
Author(s):  
孙禾 He SUN ◽  
赵文珍 Wen-zhen ZHAO ◽  
赵文辉 Wen-hui ZHAO ◽  
段振云 Zhen-yun DUAN
Keyword(s):  
Support Vector Machine ◽  
Tooth Profile ◽  
Twin Support Vector Machine ◽  
Support Vector
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