DocumentCode
2556663
Title
Notice of Retraction
A selection methods of feature attributes based on RS-SVM
Author
Gonglong Duan ; Peng Liu ; Runsheng Liu ; Long Wei
Author_Institution
Sch. of Econ. & Manage., Xi´an Univ. of Technol., Xi´an, China
fYear
2012
fDate
29-31 May 2012
Firstpage
114
Lastpage
117
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.
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.
In the pattern recognition system, when selecting the optimal set of attributes, we need a lot of features from the screening properties, so often there will be omissions, therefore, to use the rough set (RS) on the support vector machine (SVM) for encapsulation method of screening set of attributes, the use of RS and SVM to find the optimal combination of the characteristics of attribute combinations.
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.
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.
In the pattern recognition system, when selecting the optimal set of attributes, we need a lot of features from the screening properties, so often there will be omissions, therefore, to use the rough set (RS) on the support vector machine (SVM) for encapsulation method of screening set of attributes, the use of RS and SVM to find the optimal combination of the characteristics of attribute combinations.
Keywords
pattern recognition; rough set theory; support vector machines; RS-SVM; attribute combination; encapsulation method; feature attributes; optimal set selection; pattern recognition system; rough set; screening properties; screening set; support vector machine; Accuracy; Classification algorithms; Data models; Decision making; Kernel; Support vector machines; Training; encapsulate; feature attributes; rough sets (RS); support vector machine (SVM);
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2012 Eighth International Conference on
Conference_Location
Chongqing
ISSN
2157-9555
Print_ISBN
978-1-4577-2130-4
Type
conf
DOI
10.1109/ICNC.2012.6234532
Filename
6234532
Link To Document