2014
DOI: 10.1007/s40745-014-0018-4
|View full text |Cite
|
Sign up to set email alerts
|

Review on: Twin Support Vector Machines

Abstract: Twin support vector machine (TWSVM), an useful extension of the traditional SVM, becomes the current researching hot spot in machine learning during the last few years. For the binary classification problem, the basic idea of TWSVM is to seek two nonparallel proximal hyperplanes such that each hyperplane is closer to one of the two classes and is at least one distance from the other. TWSVM has lower computational complexity and better generalization ability, therefore in the last few years it has been studied … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
20
0

Year Published

2015
2015
2023
2023

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 31 publications
(22 citation statements)
references
References 135 publications
(135 reference statements)
0
20
0
Order By: Relevance
“…Starting with a concept of nomadic people and their mode of existence, this section discussed the fundamentals of NPO; this is used as the basis for the proposed method. NPO is the algorithm associated with social aspects and is developed around considering the movement of nomads in search of food [32]. The NPO algorithm can easily deal with large scale problems.…”
Section: Nomadic People Optimizermentioning
confidence: 99%
“…Starting with a concept of nomadic people and their mode of existence, this section discussed the fundamentals of NPO; this is used as the basis for the proposed method. NPO is the algorithm associated with social aspects and is developed around considering the movement of nomads in search of food [32]. The NPO algorithm can easily deal with large scale problems.…”
Section: Nomadic People Optimizermentioning
confidence: 99%
“…The harmonic mean between the positive prediction value and true positive rate is called the F-measure, which is computed as given by Eqn. (23).…”
Section: Perform Friedman's Testmentioning
confidence: 99%
“…Several extensions of the TWSVM have been proposed in the literature. Reviews of the Twin SVM and its extensions have appeared in AI Review (2014) [6], the Annals of Data Science (2014) [23], and the Egyptian Informatics Journal (2015) [24]. Some of the extensions include Knowledge based Least Squares TWSVM [1], Margin Based TWSVM [20], -TWSVM [22], Twin Parametric Margin Classifier [17], Least-squares Twin Parametric-Margin Classifier [21], Twin Support Vector Hypersphere Classifier [18], Least-squares Twin Support Vector Hypersphere Classifier [14], Structural TWSVM [19] among others.…”
Section: Introductionmentioning
confidence: 99%
“…Lately, many extensions of TSVM classifier have been proposed to improve its performance in certain aspects. A TSVM classifier has been extended to put the TSVM to multitask learning [16]. A generalized framework of TSVM for learning from labeled and unlabeled data was investigated by [17,18].…”
Section: Introductionmentioning
confidence: 99%