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PROBABILISTIC MODEL UPDATE SYSTEM, PROBABILISTIC MODEL UPDATE DEVICE, PROBABILISTIC MODEL UPDATE METHOD, AND PROGRAM

机译:概率模型更新系统,概率模型更新设备,概率模型更新方法和程序

摘要

PROBLEM TO BE SOLVED: To make measurement information having three or more dimensions a highly accurate probabilistic model and to allow the probabilistic model to be successively updated by stream processing.SOLUTION: A reception part 11 receives sensor information showing users' behaviors from two or more sensors that detect behaviors of two or more users, and a sensor information storage part 12 stores the sensor information. A modelling part 13 provides a probabilistic model of the sensor information stored to the sensor information storage part 12 on the assumption that the user and the sensor are not changed with a time as a variable. A model storage part 14 stores the probabilistic model. A model update part 15 updates the probabilistic model stored to the model storage part 14 on the basis of sensor information that the modelling part 13 does not use for providing the probabilistic model. A missing value prediction part 16 and an unexpected value detection part 17 compare the sensor information with the probabilistic model, predict missing values respectively, and detect unexpected values.
机译:解决的问题:使具有三个或更多个维度的测量信息成为高精度的概率模型,并允许通过流处理来连续更新概率模型。解决方案:接收部11从两个或更多个传感器接收表示用户行为的传感器信息。传感器检测两个或多个用户的行为,传感器信息存储部分12存储传感器信息。假设用户和传感器没有随时间变化作为变量,建模部分13提供存储到传感器信息存储部分12的传感器信息的概率模型。模型存储部14存储概率模型。模型更新部分15基于建模部分13不用于提供概率模型的传感器信息来更新存储到模型存储部分14的概率模型。缺失值预测部分16和意外值检测部分17将传感器信息与概率模型进行比较,分别预测缺失值,并检测意外值。

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