Invention Grant
US07792353B2 Retraining a machine-learning classifier using re-labeled training samples
有权
使用重新标记的训练样本重新培训机器学习分类器
- Patent Title: Retraining a machine-learning classifier using re-labeled training samples
- Patent Title (中): 使用重新标记的训练样本重新培训机器学习分类器
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Application No.: US11555036Application Date: 2006-10-31
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Publication No.: US07792353B2Publication Date: 2010-09-07
- Inventor: George Forman , Henri Jacques Suermondt
- Applicant: George Forman , Henri Jacques Suermondt
- Applicant Address: US TX Houston
- Assignee: Hewlett-Packard Development Company, L.P.
- Current Assignee: Hewlett-Packard Development Company, L.P.
- Current Assignee Address: US TX Houston
- Main IPC: G06K9/62
- IPC: G06K9/62
Abstract:
Provided are systems, methods and techniques for machine learning. In one representative embodiment, a training set that includes training samples and corresponding assigned classification labels is obtained, and an automated classifier is trained against the training set. At least one of the training samples is selected and confirmation/re-labeling of it is requested. In response, a reply classification label is received and is used to retrain the automated classifier.
Public/Granted literature
- US20080103996A1 RETRAINING A MACHINE-LEARNING CLASSIFIER USING RE-LABELED TRAINING SAMPLES Public/Granted day:2008-05-01
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