Support Vector Machines for Multi-label Classification
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 94 === Multi-label classification is an important subject in machine learning. There are several available ways to handle such problems. In this thesis we focus on using support vector machines (SVMs). As multi-label classification can be treated as an extension of mul...
Main Authors: | Wen-Hsien Su, 蘇玟賢 |
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Other Authors: | Chih-Jen Lin |
Format: | Others |
Language: | en_US |
Published: |
2006
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Online Access: | http://ndltd.ncl.edu.tw/handle/10211135656094666705 |
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