Computer-readable recording medium having stored therein machine learning program, machine learning method, and computer-readable recording medium having stored therein inference program
AssigneeFujitsu Limited
InventorsKodai TOYOTA, Akira URA
Life of this patent
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Abstract
A non-transitory computer-readable recording medium having stored therein a machine learning program for causing a computer to execute processing including: determining a window interval having a peak and a feature related to the window interval based on a spectrum related to partial autocorrelation for each of the plurality of window intervals indicating a variation of an index of time-series data; and performing machine learning of a model that predicts the variation of the index after a first time point from the variation of the index before the first time point using the determined feature.
Claims15
A non-transitory computer-readable recording medium having stored therein a machine learning program for causing a computer to execute processing comprising:
- determining a window interval having a peak and a feature related to the window interval based on a spectrum related to partial autocorrelation for each of the plurality of window intervals indicating a variation of an index of time-series data;
- and
- performing machine learning of a model that predicts the variation of the index after a first time point from the variation of the index before the first time point using the determined feature.
A machine learning method, wherein a computer executes processing of:
- determining a window interval having a peak and a feature related to the window interval based on a spectrum related to partial autocorrelation for each of a plurality of window intervals indicating a variation of an index of time-series data;
- and
- performing machine learning of a model that predicts the variation of the index after a first time point from the variation of the index before the first time point using the determined feature.
A non-transitory computer-readable recording medium having stored therein an inference program for causing a computer to execute processing comprising:
- predicting, using a model generated by machine learning, a variation of an index after a first time point from a variation of the index at and before the first time point, the machine learning using a feature related to a window interval having a peak, the feature and the window interval being based on a spectrum related to partial autocorrelation for each of the plurality of window intervals each indicating a variation of an index of time-series data.
Dependencies are inferred from the claim text.