Study of implicit information semi-supervised learning algorithm
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 sh...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2015-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015263/ |
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| _version_ | 1841539593313189888 |
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| author | Guo-dong LIU Jing XU Guo-bing ZHANG |
| author_facet | Guo-dong LIU Jing XU Guo-bing ZHANG |
| author_sort | Guo-dong LIU |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8cec57dc21894a47b36d2a249b553107 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2015-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-8cec57dc21894a47b36d2a249b5531072025-01-14T06:53:52ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-10-013613313959696366Study of implicit information semi-supervised learning algorithmGuo-dong LIUJing XUGuo-bing ZHANGImplicit 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.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015263/semi-supervised learninglung soundsimplicit information |
| spellingShingle | Guo-dong LIU Jing XU Guo-bing ZHANG Study of implicit information semi-supervised learning algorithm Tongxin xuebao semi-supervised learning lung sounds implicit information |
| title | Study of implicit information semi-supervised learning algorithm |
| title_full | Study of implicit information semi-supervised learning algorithm |
| title_fullStr | Study of implicit information semi-supervised learning algorithm |
| title_full_unstemmed | Study of implicit information semi-supervised learning algorithm |
| title_short | Study of implicit information semi-supervised learning algorithm |
| title_sort | study of implicit information semi supervised learning algorithm |
| topic | semi-supervised learning lung sounds implicit information |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015263/ |
| work_keys_str_mv | AT guodongliu studyofimplicitinformationsemisupervisedlearningalgorithm AT jingxu studyofimplicitinformationsemisupervisedlearningalgorithm AT guobingzhang studyofimplicitinformationsemisupervisedlearningalgorithm |