Open AccessResearch on Application of Support Vector Machine in Machine Learning
Author(s) -
Bowen Duan
Publication year - 2019
Publication title -
journal of electronic research and application
Language(s) - English
Resource type - Journals
eISSN - 2208-3510
pISSN - 2208-3502
DOI - 10.26689/jera.v3i4.916
Subject(s) - support vector machine , relevance vector machine , machine learning , structured support vector machine , artificial intelligence , computer science , structural risk minimization , adaptability , margin classifier , online machine learning , classifier (uml) , active learning (machine learning) , ecology , biology
In recent years, support vector machine learning methods have gradually become the main research direction of machine learning. The support vector machine has a small structural risk compared with the traditional learning method, which can make the training error and the classifier capacity reach a relatively balanced state. Secondly, it also has the advantages of strong adaptability and strong promotion ability and has been widely praised by the industry. The following discussion focuses on the application of support vector machine in machine learning.