CAUSATION LEARNING APPARATUS, CAUSATION ESTIMATION APPARATUS, CAUSATION LEARNING METHOD, CAUSATION ESTIMATION METHOD AND PROGRAM

摘要

A technique for estimating a causal relation, which can solve problems of a conventional technique and which does not require preliminary setting of a regression model is disclosed. An embodiment of the present invention relates to a causal relation learning device including: a feature value calculation unit that receives a correct label of three or more classification labels related to a causal relation of time-series data and time-series data corresponding to the correct label and calculates a feature value of the time-series data; and a classifier learning unit that learns a classifier using a set of the feature value and the correct label so that an output of the classifier with respect to the feature value is a largest value of an output value of the correct label.