Title :
Notice of Retraction
A novel QoS evaluation scheme based on support vector machine
Author :
Jingyao Wang ; Heli Liu ; Mei Song
Author_Institution :
Sch. of Electron. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
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.
The quality of service (QoS) is an important factor for networks; guarantee the QoS in network is then very important for the network performance. Anyway, the research on the accurately evaluation on QoS is still lacked. In this paper, we employ the computational learning theory to study this problem and present the QoS evaluation model. Then the QoS evaluation scheme base on support vector machine (SVM) is proposed. Simulation results show that our propose scheme is more effective and improve the performance of the QoS evaluation.
Keywords :
computer network performance evaluation; quality of service; support vector machines; telecommunication computing; ubiquitous computing; QoS evaluation scheme; SVM; computational learning theory; network performance; quality of service; support vector machine; ubiquitous heterogeneous network; Computational efficiency; Computational modeling; Machine learning; Quality of service; Support vector machines; Telecommunications; Training data; Computational Learning; Machine Learning; QoS evaluation; Support Vector Machine;
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9950-2
DOI :
10.1109/ICNC.2011.6022143
