A Transfer-Learning Approach to Exploit Noisy Information for Classification
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 101 === Generally qualitative condition (the accuracy of the data) and quantitative condition (the amount of data) of the data can significantly affect the quality of a supervised learning model. However, in real-world applications it might not be feasible to always as...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/28021491105145830579 |