发明名称 |
MACHINE LEARNING SYSTEM AND MACHINE LEARNING METHOD |
摘要 |
PROBLEM TO BE SOLVED: To adaptively select a parametrically-expressed state space and a non-parametrically-expressed state space.SOLUTION: A machine learning system (1) comprises: knowledge acquisition means (12) for generating a parametrically-expressed class set through reinforcement learning on the basis of a reward or penalty given to input and output to the input; knowledge reconstitution means (14) for generating a non-parametrically-expressed class set, on the basis of the learned input used for the generation of the parametrically-expressed class set; and knowledge utilization means (16) for performing class determination of determining to which of the non-parametrically-expressed classes unknown input belongs, and performing output corresponding to a result of the determination. The knowledge reconstitution means (14) generates the non-parametrically-expressed class set when the number of learned inputs is greater than a predetermined number and a variance of each of the parametrically-expressed classes is less than a predetermined value. |
申请公布号 |
JP2013205890(A) |
申请公布日期 |
2013.10.07 |
申请号 |
JP20120071205 |
申请日期 |
2012.03.27 |
申请人 |
HIROSHIMA UNIV |
发明人 |
YASUDA TOSHIYUKI;OKURA KAZUHIRO |
分类号 |
G06N3/00;G06F17/30;G06N5/04 |
主分类号 |
G06N3/00 |
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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