Journal on Communications ›› 2015, Vol. 36 ›› Issue (10): 133-139.doi: 10.11959/j.issn.1000-436x.2015263

• academic paper • Previous Articles     Next Articles

Study of implicit information semi-supervised learning algorithm

Guo-dong LIU1,Jing XU1,Guo-bing ZHANG2   

  1. 1 College of Computer and Control Engineering,Nankai University,Tianjin 300071,China
    2 School of Electronic and Information Engineering,Beihang University,Beijing 100191,China
  • Online:2015-10-25 Published:2015-10-27

Abstract:

Implicit information semi supervised learning algorithm was studied.The implicit information semi supervised learning algorithm was used in support vector machine and random forest,which were called semi-SVM and semi-RF.The semi-SVM and semi-RF were evaluated by using UCI,the experimental results show that the semi-SVM and semi-RF are more effective and more precise.The semi-SVM and semi-RF were applied to classifying lung sounds,and verified the effect by using the actual lung sounds data.the quantity and quality of samples affect semi-SVM and semi-RF were analyzed.

Key words: semi-supervised learning, lung sounds, implicit information

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