发明授权
- 专利标题: Active learning with per-case symmetrical importance scores
- 专利标题(中): 主动学习与每个案例的对称重要性分数
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申请号: US13563645申请日: 2012-07-31
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公开(公告)号: US08825570B2公开(公告)日: 2014-09-02
- 发明人: George Forman
- 申请人: George Forman
- 申请人地址: US TX Houston
- 专利权人: Hewlett-Packard Development Company, L.P.
- 当前专利权人: Hewlett-Packard Development Company, L.P.
- 当前专利权人地址: US TX Houston
- 主分类号: G06F17/00
- IPC分类号: G06F17/00
摘要:
A method for classifying cases includes receiving a pool of unlabeled cases with associated per-case symmetrical importance scores, applying a selection algorithm with a classifier to a training set and the pool, but without the per-case symmetrical importance scores, to determine selection scores for the unlabeled case, and combining the selection scores and the corresponding per-case symmetrical importance scores to form combined scores for the unlabeled cases. The method further includes providing a high scoring unlabeled case to an oracle to label, receiving a labeled case back from the oracle and augmenting the training set with the labeled case, training the classifier with the augmented training set, and applying the classifier to an additional unlabeled case.
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