Communications of the ACM
The nature of statistical learning theory
The nature of statistical learning theory
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
On the generalization of soft margin algorithms
IEEE Transactions on Information Theory
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Fuzzy support vector machine for multi-class text categorization
Information Processing and Management: an International Journal
A general soft method for learning SVM classifiers with L1-norm penalty
Pattern Recognition
One-against-one fuzzy support vector machine classifier: An approach to text categorization
Expert Systems with Applications: An International Journal
Fuzzy support vector classification based on fuzzy optimization
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Expert Systems with Applications: An International Journal
Employing multiple-kernel support vector machines for counterfeit banknote recognition
Applied Soft Computing
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The ideas from fuzzy neural networks and support vector machine (SVM) are incorporated to make SVM classifiers perform better. The influence of the samples with high uncertainty can be decreased by employing the fuzzy membership to weigh the margin of each training vector. The linear separability, fuzzy margin, optimal hyperplane, generalization and soft fuzzy margin algorithms are discussed. A new optimization problem is obtained and SVM is then completely reformulated into a new fuzzy support vector machine (NFSVM). Moreover, the generation bound of NFSVM can be described. We also introduce the membership function in fuzzy neural networks to do some experiments. The results demonstrate that the proposed NFSVM can produce better results than regular SVM and Fuzzy Kernel Perceptron (FKP) in some real cases.