A parallel training algorithm of support vector machines based on the MTC architecture

2008 ◽  
Author(s):  
Lei Wang ◽  
Huading Jia
Keyword(s):  
Support Vector Machines ◽  
Support Vector ◽  
Training Algorithm ◽  
Vector Machines

An Improved Incremental Training Algorithm of Support Vector Machines

2011 ◽  
Vol 301-303 ◽  
pp. 677-681
Author(s):  
Liang Qin ◽  
Hong Wei Yin ◽  
Xian Jun Shi ◽  
Zhi Cai Xiao
Keyword(s):  
Support Vector Machines ◽  
Support Vector ◽  
Training Algorithm ◽  
Training Samples ◽  
Vector Machines ◽  
Incremental Training

In order to figure out the deficiency of the SVM on extensive sample, nature of SV is studied in this paper. An improved incremental training algorithm is put forward based on dimensional of samples. A chosen gene which got by density and distance criterion is used in this method. In this method the number of training samples is decreased and the space information is keeped. So, the training speed is improved while the precision is not reduced. And the simulation proved the efficiency of this method.

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