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INFORMATION PROCESSING DEVICE, METHOD, PROGRAM, IC CHIP, AND LEARNED MODEL

机译:信息处理设备,方法,程序,IC芯片和学习模型

摘要

[Problem to be Solved];To achieve highly accurate prediction processing even when to-be-learned data includes noise or the like.;[Solution];There is provided an information processing device that generates a prediction output corresponding to input data, the information processing device, comprising: an input-node specification unit that, based on the input data, specifies input nodes corresponding to the input data and each located on a corresponding one of layers from beginning to end of the learning tree structure; a reliability-index acquisition unit that acquires a reliability index obtained through the predetermined learning processing and indicating prediction accuracy; an output-node specification unit that, based on the reliability index acquired by the reliability-index acquisition unit, specifies, from the input nodes corresponding to the input data, an output node that is the basis of the generation of a prediction output; and a prediction-output generation unit that generates a prediction output, based on the to-be-learned data included in the state space corresponding to the output node specified by the output-node specification unit.
机译:[要解决的问题];为了即使在要学习的数据包括噪声等的情况下也可以实现高精度的预测处理。[解决方案]提供一种信息处理装置,该信息处理装置生成与输入数据相对应的预测输出。信息处理设备,包括:输入节点指定单元,基于输入数据,指定与输入数据相对应的输入节点,并且每个输入节点从学习树结构的开始到结束都位于相应的一层上;以及可靠性指标获取单元,其获取通过预定学习处理获得的并指示预测精度的可靠性指标;输出节点指定单元,基于由可靠性指标获取单元获取的可靠性指标,从与输入数据相对应的输入节点中指定作为预测输出的生成基础的输出节点;预测输出生成单元,基于包含在与由输出节点指定单元所指定的输出节点相对应的状态空间中的要学习的数据,来生成预测输出。

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