发明授权
US08370276B2 Rule learning method, program, and device selecting rule for updating weights based on confidence value
有权
规则学习方法，程序和设备选择规则，用于基于置信度值更新权重
- 专利标题： Rule learning method, program, and device selecting rule for updating weights based on confidence value
- 专利标题（中）： 规则学习方法，程序和设备选择规则，用于基于置信度值更新权重
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申请号： US12507379申请日： 2009-07-22
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公开(公告)号： US08370276B2公开(公告)日： 2013-02-05
- 发明人: Tomoya Iwakura , Seishi Okamoto
- 申请人： Tomoya Iwakura , Seishi Okamoto
- 申请人地址： JP Kawasaki-Shi
- 专利权人： Fujitsu Limited
- 当前专利权人： Fujitsu Limited
- 当前专利权人地址： JP Kawasaki-Shi
- 代理机构： Staas & Halsey LLP
- 优先权： JP2008-193068 20080728
- 主分类号： G06F15/18
- IPC分类号： G06F15/18
摘要：
A rule learning method in machine learning includes distributing features to a given number of buckets based on a weight of the features which are correlated with a training example; specifying a feature with a maximum gain value as a rule based on a weight of the training example from each of the buckets; calculating a confidence value of the specified rule based on the weight of the training example; storing the specified rule and the confidence value in a rule data storage unit; updating the weights of the training examples based on the specified rule, the confidence value of the specified rule, data of the training example, and the weight of the training example; and repeating the distributing, the specifying, the calculating, the storing, and the updating, when the rule and the confidence value are to be further generated.
公开/授权文献
- US20100023467A1 RULE LEARNING METHOD, PROGRAM, AND DEVICE 公开/授权日：2010-01-28