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An Automatic Unlabeled Selection for CO-training REGressors (AU-COREG) |
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| รหัสดีโอไอ | |
| Creator | Sirikwan Kheereesuwannakul |
| Title | An Automatic Unlabeled Selection for CO-training REGressors (AU-COREG) |
| Contributor | Eakasit Pacharawongsakda |
| Publisher | Faculty of Information Science and Technology, Mahanakorn University of Technology |
| Publication Year | 2563 |
| Journal Title | Journal of Information Science and Technology |
| Journal Vol. | 10 |
| Journal No. | 1 |
| Page no. | 10-23 |
| Keyword | Co-Training, Simi-Supervised Learning |
| URL Website | https://tci-thaijo.org/index.php/JIST |
| Website title | Journal of Information Science and Technology |
| ISSN | 2651-1053 |
| Abstract | This research aims to improve the performance of semi-supervised learning byautomatically select unlabeled data. The proposed method uses two regression models toestimate values for unlabeled data, then cluster the data into groups. Therefore, similar data areassigned in the same group and the different data are assigned into the different groups. Afterthat, the method selects each group representative that have least error and append intotraining data. Then, we repeat until we have enough training data. From experimental resultswith three datasets, we found that the proposed method can improve performance and reducecomputation time by 84%, comparing to previous work. |
