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Notice of Retraction Study on advanced variance-considered machines using Mahalanobis distance
- Source :
- 2011 Seventh International Conference on Natural Computation.
- Publication Year :
- 2011
- Publisher :
- IEEE, 2011.
-
Abstract
- Support Vector Machine maximizes a margin between two groups. Variance-considered machine improves SVM to align hyper plane according to two classes' variance and prior probability to reduce the error rate. There is probabilistically imprecise things those data classified by VCM. In this paper, we introduce the VCM and try to propose a concept that is to confer reliability estimated by Mahalanobis distance upon data separated by VCM.
- Subjects :
- Mahalanobis distance
Structured support vector machine
business.industry
Computer science
Word error rate
Pattern recognition
computer.software_genre
Support vector machine
Relevance vector machine
Hyperplane
Margin (machine learning)
Least squares support vector machine
Margin classifier
Artificial intelligence
Data mining
business
computer
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2011 Seventh International Conference on Natural Computation
- Accession number :
- edsair.doi...........a1fc818f29571191a6cd4f75726d89df