DocumentCode
553997
Title
Notice of Retraction
Study on advanced variance-considered machines using Mahalanobis distance
Author
Junheong Park ; Kwee-Bo Sim ; Seung-min Park
Author_Institution
Sch. of Electr. & Electron. Eng., Chung-Ang Univ., Seoul, South Korea
Volume
1
fYear
2011
fDate
26-28 July 2011
Firstpage
388
Lastpage
391
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
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.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
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.
Keywords
pattern classification; probability; reliability; support vector machines; Mahalanobis distance; advanced variance-considered machines; data classification; error rate reduction; reliability estimation; support vector machine; Educational institutions; Kernel; Reliability; Support vector machine classification; Training; Training data; Machine Learning; Mahalanobis distance; Reliability; Support Vector Machine; Variance Considered Machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022100
Filename
6022100
Link To Document