Institutional Repository of School of Information Engineering and Artificial Intelligence
Application of Classifier Based on STDPM Algorithm | |
Li, Bing; Wang, Jikui | |
2022 | |
会议名称 | 6th International Workshop on Advanced Algorithms and Control Engineering, IWAACE 2022 |
会议录名称 | Proceedings of SPIE - The International Society for Optical Engineering |
卷号 | 12350 |
会议日期 | July 8, 2022 - July 10, 2022 |
会议地点 | Qingdao, China |
会议录编者/会议主办者 | Academic Exchange Information Center (AEIC) |
出版者 | SPIE |
摘要 | In the current era of big data, semi-supervised learning algorithms are widely used. The self-training algorithm is one of the commonly used semi-supervised algorithm frameworks. During the iteration process of the self-training algorithm, the classification performance of the base classifier has a significant influence on the final classifier trained by the model. To study the effect of the base classifier on the performance of the STDPM algorithm, we use KNN, decision tree, and SVM base classifier to conduct experiments on four medical images. The experimental results show that on the four data sets Diabetes, Heart, Hepatitis and Ilpd, the three classifiers KNN (K=1), SVM and decision tree have little effect on the STDPM algorithm. When K=3, the algorithm STDPM performs poorly using the KNN base classifier. © 2022 SPIE. |
关键词 | Classification (of information) Iterative methods Learning algorithms Medical imaging Support vector machines current Algorithm framework Base classifiers Classification performance Iteration process Self-training Semi-supervised algorithm Semi-supervised learning Semisupervised classification (SSC) Training algorithms |
DOI | 10.1117/12.2654556 |
收录类别 | EI |
语种 | 英语 |
EI入藏号 | 20224613130302 |
EI主题词 | Decision trees |
EI分类号 | 461.1 Biomedical Engineering ; 716.1 Information Theory and Signal Processing ; 723 Computer Software, Data Handling and Applications ; 723.4.2 Machine Learning ; 746 Imaging Techniques ; 903.1 Information Sources and Analysis ; 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory ; 921.6 Numerical Methods ; 961 Systems Science |
原始文献类型 | Conference article (CA) |
文献类型 | 会议论文 |
条目标识符 | http://ir.lzufe.edu.cn/handle/39EH0E1M/33110 |
专题 | 信息工程与人工智能学院 |
作者单位 | School of Information Engineering, Lanzhou University of Finance and Economics, Lanzhou; 730020, China |
推荐引用方式 GB/T 7714 | Li, Bing,Wang, Jikui. Application of Classifier Based on STDPM Algorithm[C]//Academic Exchange Information Center (AEIC):SPIE,2022. |
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