公开(公告)号：US20220270115A1

公开(公告)日：2022-08-25

申请号：US17439493

申请日：2020-12-16

Applicant: HITACHI, LTD.

Inventor： Kazuki YAMANE ,  Kazuaki TOKUNAGA ,  Kazuyuki OOTA ,  Hiroyuki NAMBA

IPC: G06Q30/02 ,  G06N5/04

Abstract: A learner generation unit generates, as a learner group, a plurality of learners that learned a correspondence of an attribute and an outcome in each of a plurality of learning data sets extracted from a data group associated with an attribute and an outcome of each of the targets. A target selection unit applies the learner group selected for inference to an inference data set and predicts, for each of the learners, an outcome corresponding to an attribute in the inference data set, calculates, for each attribute in the inference data set, at least one of an average of the outcomes predicted for each of the learners or an index value expressing an uncertainty of the outcomes, and selects, from the inference data set, the target to which the policy is to be executed based on at least one of the calculated average or the calculated index value.