Pattern Recognition Based on Multi-class Support Vector Machine
SU Xiaowei
Abstract：Support vector machine is an important branch in the field of modern artificial intelligence .Based on statistical learning theory ,it implements the structural risk minimization ,improves the generalization ability of the classifier ,guarantees the accuracy of classification .This paper proposes a pattern recognition method based on support vector machine The eigenval‐ues selection sequence minimizing method is adopted to select the characteristic of data sample .On this basis ,the "one‐against‐one" classification algorithm and "one‐against‐all" classification algorithm are analyzed and compared .The experimental results show that the "one‐against‐one" classification algorithm has higher accuracy ,and better generalization ability .
Keywords：multi-classsupport vector machinepattern recognitionminimizing sequence
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1202-1206 )