Nec Corporation

Yotaro Watanabe

Daniel Georg Andrade Silva

Kunihiko Sadamasa

Kentarou Sasaski

An inference method according to the present invention in an inference system inferring a probability that an ending state holds based on a starting state and a rule set, the method includes: when a rule set derived by excluding one rule from rules constituting a first rule set is set as a second rule set, a probability that the ending state holds based on the starting state and the first rule set is set as a first inference result, and a probability that the ending state holds based on the starting state and the second rule set is set as a second inference result, calculating an importance being an indicator indicating magnitude of a difference between the first inference result and the second inference result; and outputting the rule and the importance of the rule, being associated with each other for each of the excluded rule.

Inference system, inference method, and recording medium

An information processing system for improving detection of a relation between events is provided. A learning system () includes a training data storage () and a learning module (). The training data storage () stores a training pair of a first and second event, and a relation between the training pair of the first and second events. The relation is a first or second relation. The learning modulelearns a neural network for classifying a relation between a pair of the first and second events to be classified as the first or second relation, by using the training pair. The neural network includes a first layer to extract a feature of the first relation from features of the first and second events, a second layer to extract a feature of the second relation from the features of the first and second events, and a joint layer to extract a joint feature of the first and second relations from the features of the first and second relations.

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Tokyo, Japan

Yotaro Watanabe