A Feasibility Study of Distance-Based Learning Algorithms That Utilize Labeled and Unlabeled Training Data
碩士 === 國立交通大學 === 資訊科學與工程研究所 === 106 === Supervised learning is one of the important types of learning mechanisms in machine learning. It typically requires sufficient prelabeled training data from which to learn a prediction model that is faithful to the target concept. However, in practice, prepar...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/wmh596 |