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 代理人
主权项
地址
您可能感兴趣的专利