发明名称 |
Multi-label active learning |
摘要 |
Multi-label active learning may entail training a classifier with a set of training samples having multiple labels per sample. In an example embodiment, a method includes accepting a set of training samples, with the set of training samples having multiple respective samples that are each respectively associated with multiple labels. The set of training samples is analyzed to select a sample-label pair responsive to at least one error parameter. The selected sample-label pair is then submitted to an oracle for labeling. |
申请公布号 |
US8086549(B2) |
申请公布日期 |
2011.12.27 |
申请号 |
US20070958050 |
申请日期 |
2007.12.17 |
申请人 |
QI GUO-JUN;HUA XIAN-SHENG;RUI YONG;ZHANG HONG-JIANG;LI SHIPENG;MICROSOFT CORPORATION |
发明人 |
QI GUO-JUN;HUA XIAN-SHENG;RUI YONG;ZHANG HONG-JIANG;LI SHIPENG |
分类号 |
G06F15/18 |
主分类号 |
G06F15/18 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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