|Table of Contents|

Incremental Vector Support Vector Machine Learning Algorithm

《南京理工大学学报》（自然科学版）[ISSN:1005-9830/CN:32-1397/N]

Issue:
2012年05期
Page:
873-
Research Field:
Publishing date:

Info

Title:
Incremental Vector Support Vector Machine Learning Algorithm
Author(s):
CHEN Yuan-tao1; 2; XU Wei-hong1; 2; WU Jia-ying1; 2
1. School of Computer Science and Technology,NUST,Nanjing 210094,China; 2. School of Computer and Communicational Engineering,Changsha University of Science and Technology, Changsha 410114,China
Keywords:
support vector machine; increment vector; pruning; some clips
PACS:
TP391
DOI:
-
Abstract:
In view of that the common support vector machine( SVM) learning algorithm is time- consuming and lower in efficiency,an algorithm of incremental vector support vector machine( IV- SVM) learning algorithm is put forward here. A primary SVM classifier is acquired based on the selected increment vectors in the kernel space. According to Karush-Kuhn-Tucker(KKT)conditions, the original training samples are pruned through the primary SVM classifier. The final SVM classifier is obtained by training the primary SVM classifier with reduction samples. Simulation experiments show that,compared with the common support vector machine,IV-SVM can reduce the training time of large capacity data samples support vector machine.

References:

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Last Update: 2012-11-26