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https://www.sciencedirect.com/science/article/pii/S1110866514000498
Twin Support Vector Machine (TWSVM) is an emerging machine learning method suitable for both classification and regression problems. It utilizes the concept of Generalized Eigen-values Proximal Support Vector Machine (GEPSVM) and finds two non-parallel planes for each class by solving a pair of Quadratic Programming Problems.Cited by: 56
https://www.sciencedirect.com/science/article/pii/S0925231218302923
Twin support vector machines (TWSVM) is a new machine learning method based on the theory of Support Vector Machine (SVM). Unlike SVM, TWSVM would generate two non-parallel planes, such that each plane is closer to one of the two classes and is …Cited by: 9
https://www.researchgate.net/publication/323660342_Twin_Support_Vector_Machines_A_Survey
Twin support vector machines (TWSVM) is a new machine learning method based on the theory of Support Vector Machine (SVM). Unlike SVM, TWSVM would generate two non-parallel planes, such that each ...
https://arxiv.org/abs/2001.10073
Jan 27, 2020 · Abstract: This paper presents LIBTwinSVM, a free, efficient, and open source library for Twin Support Vector Machines (TSVMs). Our library provides a set of useful functionalities such as fast TSVMs estimators, model selection, visualization, a graphical user interface (GUI) application, and a Python application programming interface (API).
https://arxiv.org/pdf/1505.05451v1
Fuzzy Least Squares Twin Support Vector Machines Javad Salimi Sartakhtia,, Nasser Ghadiri a, Homayun Afrabandpey , Narges Yousefnezhadb aDepartment of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, 84156-83111, IRAN bDepartment of Computer Engineering, Sharif University of Technology, Tehran, 11365-11155, IRAN Abstract Least Squares Twin Support Vector Machine ...Cited by: 7
https://link.springer.com/article/10.1007%2Fs00521-020-04740-x
Abstract. Among the extensions of twin support vector machine (TSVM), some scholars have utilized K-nearest neighbor (KNN) graph to enhance TSVM’s classification accuracy.However, these KNN-based TSVM classifiers have two major …
https://www.sciencedirect.com/science/article/pii/S1110866514000498
Twin Support Vector Machine (TWSVM) is an emerging machine learning method suitable for both classification and regression problems. It utilizes the concept of Generalized Eigen-values Proximal Support Vector Machine (GEPSVM) and finds two non-parallel planes for each class by solving a pair of Quadratic Programming Problems.Cited by: 60
https://www.springer.com/gp/book/9783319461847
This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments for classification and regression. In addition to presenting most of the basic models of TWSVM and twin support vector regression (TWSVR) available in the
https://www.sciencedirect.com/science/article/pii/S0925231218302923
Twin support vector machines (TWSVM) is a new machine learning method based on the theory of Support Vector Machine (SVM). Unlike SVM, TWSVM would generate two non-parallel planes, such that each plane is closer to one of the two classes and is as far as possible from the other.Cited by: 9
https://www.researchgate.net/publication/296621332_Twin_support_vector_machine_theory_algorithm_and_applications
Twin support vector machine (TWSVM) has gained increasing interest from various research fields recently. In this paper, we aim to report the current state of the theoretical research and ...
https://www.researchgate.net/publication/323660342_Twin_Support_Vector_Machines_A_Survey
Twin support vector machines (TWSVM) is a new machine learning method based on the theory of Support Vector Machine (SVM). Unlike SVM, TWSVM …
https://www.sciencedirect.com/science/article/pii/S0950705114003785
In this paper, we formulate a twin-type support vector machine for large-scale classification problems, called weighted linear loss twin support vector machine (WLTSVM). By introducing the weighted linear loss, our WLTSVM only needs to solve simple linear equations with lower computational cost, and meanwhile, maintains the generalization ability.
https://arxiv.org/pdf/1505.05451v1
Fuzzy Least Squares Twin Support Vector Machines Javad Salimi Sartakhtia,, Nasser Ghadiri a, Homayun Afrabandpey , Narges Yousefnezhadb aDepartment of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, 84156-83111, IRAN bDepartment of Computer Engineering, Sharif University of Technology, Tehran, 11365-11155, IRAN Abstract Least Squares Twin Support Vector Machine ...Cited by: 7
https://shiliangsun.github.io/pubs/MvLapTSVMs.pdf
has attracted great attention in machine learning in the last decade. Laplacian support vector machines and Laplacian twin support vector machines have been proposed in the semi-supervised learning framework. In this paper, inspired by the recent success of multi-view learning we propose multi-view Laplacian twin support vector machines,
https://ieeexplore.ieee.org/document/5762620/
Abstract: For classification problems, the generalized eigenvalue proximal support vector machine (GEPSVM) and twin support vector machine (TWSVM) are regarded as milestones in the development of the powerful SVMs, as they use the nonparallel hyperplane classifiers. In this brief, we propose an improved version, named twin bounded support vector machines (TBSVM), based on TWSVM.Cited by: 386
https://csgaobb.github.io/Pub_files/icmla15_FTWSVM.pdf
1 Coordinate Descent Fuzzy Twin Support Vector Machine for Classification Bin-Bin Gao, Jian-Jun Wang, Yao Wang, Chan-Yun Yang Abstract—In this paper, we develop a novel coordinate descent fuzzy twin SVM (CDFTSVM) for classification.
https://rd.springer.com/book/10.1007/978-3-319-46186-1
This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments for classification and regression. In addition to presenting most of the basic models of TWSVM and twin support vector regression (TWSVR) available in the literature, it also discusses the important and ...
https://library.villanova.edu/Find/Record/1633443/Details
Twin Support Vector Machines : Models, Extensions and Applications / This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments for classification and regression. In addition to presenting most of the basic models of TWSVM and twin support vector regression (TWSVR ...
https://www.kobo.com/us/en/ebook/twin-support-vector-machines
Read "Twin Support Vector Machines Models, Extensions and Applications" by Jayadeva available from Rakuten Kobo. Sign up today and get $5 off your first purchase. This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and rel...
https://shiliangsun.github.io/pubs/MvLapTSVMs.pdf
has attracted great attention in machine learning in the last decade. Laplacian support vector machines and Laplacian twin support vector machines have been proposed in the semi-supervised learning framework. In this paper, inspired by the recent success of multi-view learning we propose multi-view Laplacian twin support vector machines,
https://www.iis.sinica.edu.tw/page/jise/2014/201411_06.pdf
2.2 Least Squares Twin Support Vector Machine To further improve the computational speed of classifier, LS-TSVM [8] was pro-posed in the spirit of TSVM, and it seeks to solve a pair of smaller-sized QPPs rather than a single large-sized one as in LS-SVM. The illustration of the least squares TSVM is shown as Fig. 2. Fig. 2.
http://www.jsoftware.us/vol8/jsw0807-22.pdf
Twin Support Vector Machines Based on Quantum Particle Swarm Optimization Shifei Ding1,2, Fulin Wu1, Ru Nie1, Junzhao Yu1, Huajuan Huang1 1. School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China
https://dl.acm.org/citation.cfm?id=1263463
An improved twin support vector machine based on multi-objective cuckoo search for software defect prediction, International Journal of Bio-Inspired Computation, v.11 n.4, p.282-291, January 2018
http://optimal-group.org/Resource.html
FSTWSVM: FSTWSVM is a feature selection method for twin support vector machines, including linear and nonlinear feature selection. This package provides an implementation of the FSTWSVM method by Matlab code. NHSVM: NHSVM is a nonparallel hyperplane support vector machine for binary classification. This package provides an implementation of the ...
https://csgaobb.github.io/Pub_files/icmla15_FTWSVM.pdf
1 Coordinate Descent Fuzzy Twin Support Vector Machine for Classification Bin-Bin Gao, Jian-Jun Wang, Yao Wang, Chan-Yun Yang Abstract—In this paper, we develop a novel coordinate descent fuzzy twin SVM (CDFTSVM) for classification.
https://github.com/mir-am/LightTwinSVM
Twin support vector machines for pattern classification. IEEE Transactions on pattern analysis and machine intelligence, 29(5), 905-910. The clipDCD algorithm was proposed by: Peng, X., Chen, D., & Kong, L. (2014). A clipping dual coordinate descent algorithm for solving support vector machines. Knowledge-Based Systems, 71, 266-278.
https://csm.rowan.edu/departments/cs/research/archive/ho2016-07-01.pdf
Robust energy-based least squares twin support vector machines 175 support vector machine (LSTSVM) [14] has been proposed as a way to replace the convex QPPs in TSVM with a con-vex linear system by using the squared loss function instead of the hinge one, leading to …
https://en.wikipedia.org/wiki/Least_Squares_Support_Vector_Machine
Least-squares support-vector machines (LS-SVM) are least-squares versions of support-vector machines (SVM), which are a set of related supervised learning methods that analyze data and recognize patterns, and which are used for classification and regression analysis.In this version one finds the solution by solving a set of linear equations instead of a convex quadratic programming (QP ...
https://github.com/mir-am/LIBTwinSVM
LIBTwinSVM is an easy-to-use implementation of Twin Support Vector Machine. It is licensed under the terms of GNU GPL v3. This application comes with a user interface which makes using the algorithm so handy for Data Scientists, Machine Learning Researchers and whoever else that is interested in Machine Learning.
https://www.amazon.com/Twin-Support-Vector-Machines-Computational/dp/3319461842
Twin Support Vector Machines: Models, Extensions and Applications (Studies in Computational Intelligence) [Jayadeva, Reshma Khemchandani, Suresh Chandra] on Amazon.com. *FREE* shipping on qualifying offers. This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments for classification and regression.Author: Jayadeva
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