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https://www.sciencedirect.com/science/article/pii/S0020025512005919
This paper formulates a twin-hypersphere support vector machine (THSVM) classifier for binary recognition. Similar to the twin support vector machine (TWSVM) classifier, this THSVM determines two hyperspheres by solving two related support vector machine (SVM)-type problems, each one is smaller than the classical SVM, which makes the THSVM be more efficient than the classical SVM.Cited by: 60
https://www.mdpi.com/2079-9292/8/10/1195/htm
(1) Each pair of binary sub-classifiers has to calculate inverse matrices. (2) For nonlinear problems, a pair of additional primal problems needs to be constructed in each pair of binary sub-classifiers. For these disadvantages, a new multi-class twin hypersphere support vector machine, named Twin Hypersphere-KSVC, is proposed in this paper.Author: Qing Ai, Anna Wang, Aihua Zhang, Wenhui Wang, Yang Wang
https://camo.ici.ro/journal/vol19/v19a8.pdf
Linear approach for twin-Hypersphere support vector machine Saeed Ketabchia,, Hossein Moosaeib, Mohamad Razzaghia aDepartment of Applied Mathematics, Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran bDepartment of Mathematics, Faculty of science, University of Bojnord, Bojnord, Iran Abstract Data classi cation by support vector Hypersphere which is a competitive method to all
https://link.springer.com/article/10.1007/s11767-005-0192-9
Jul 01, 2006 · The hypersphere support vector machine is a new algorithm in pattern recognition. By studying three kinds of hypersphere support vector machines, it is found that their solutions are identical and the margin between two classes of samples is zero or is not unique. In this letter, a new kind of hypersphere support vector machine is proposed. By introducing a parameter n(n>1), a …Cited by: 3
https://www.mdpi.com/2079-9292/8/10/1195/pdf
electronics Article An Effective Multiclass Twin Hypersphere Support Vector Machine and Its Practical Engineering Applications Qing Ai 1,2,* , Anna Wang 2,*, Aihua Zhang 3 and Wenhui Wang 2 and Yang Wang 2 1 School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan 114051, ChinaAuthor: Qing Ai, Anna Wang, Aihua Zhang, Wenhui Wang, Yang Wang
https://www.researchgate.net/publication/245462571_A_new_hypersphere_support_vector_machine_algorithm
The hypersphere support vector machine is a new algorithm in pattern recognition. By studying three kinds of hypersphere support vector machines, it is found that their solutions are identical and ...
https://ieeexplore.ieee.org/document/6014314/
In this paper, a new kind hypersphere support vector machine is applied in text classification, just require training a SVM. The SVM obtain a super ball center through training samples of each type text that in high-dimensional feature space, and then calculate the distance between the text sample to be tested and the center of each class ...Cited by: 1
https://www.researchgate.net/publication/239420742_Hypersphere_support_vector_machines_based_on_generalized_multiplicative_updates
This paper proposes a novel hypersphere support vector machines (HSVMs) based on generalized multiplicative updates. This algorithm can obtain the boundary of hypersphere containing one class of ...
https://www.academia.edu/34328679/Research_and_Application_of_One-Class_Small_Hypersphere_Support_Vector_Machine_for_Network_Anomaly_Detection
Research and Application of One-Class Small Hypersphere Support Vector Machine for Network Anomaly Detection
https://link.springer.com/chapter/10.1007/11881070_1
Abstract. This paper proposes a novel hypersphere support vector machines based on multiplicative updates. This algorithm can obtain the boundary of hypersphere containing one class of samples by the description of the training samples from one class and uses this boundary to classify the test samples.Author: Qing Wu, Sanyang Liu, Leyou Zhang
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