Title :
Multi-class Classifier Based on Support Vector Machines and Similar Binary Tree
Author :
Chen, Zengzhao ; Yang, Yang ; He, Xiuling ; Dong, Cailin
Author_Institution :
Inf. Sch. of Univ. of Sci. & Technol., Beijing
Abstract :
The method of multi-class classification based support vector machines is researched. After comparing some common multi-class SVMS, and proposes a multi-class classified method based on similar binary tree. The constructing algorithm of similar binary tree is given and its effectivity is discussed. Experiment results show that the algorithm improves the classifying speed without debasing the classifying precision
Keywords :
pattern classification; support vector machines; trees (mathematics); multiclass classification; similar binary tree; support vector machines; Binary trees; Character recognition; Classification tree analysis; Electronic mail; Helium; Mathematics; Optimal control; Support vector machine classification; Support vector machines; Virtual colonoscopy; Chinese character recognition; multi-class classification; similar binary tree; support vector machine;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713963
