INFORMATION PROCESSING APPARATUS, FEATURE QUANTITY SELECTION METHOD, TRAINING DATA GENERATION METHOD, ESTIMATION MODEL GENERATION METHOD, STRESS LEVEL ESTIMATION METHOD, AND STORAGE MEDIUM
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United States of America Patent
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Mar 28, 2024
app pub date -
Jan 21, 2021
filing date -
Jan 21, 2021
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In order to improve a feature quantity selection method for machine learning of a stress level estimation model, an information processing apparatus (1) includes: a first selection section (11) that generates a feature set by selecting a feature quantity corresponding to each of a plurality of modalities from among a plurality of feature quantities; and a second selection section (12) that selects, based on a result of verifying estimation accuracy, a combination of feature quantities for use in the machine learning, the verification being carried out by applying combinations of feature quantities included in the feature set to the machine learning of the estimation model.
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