METHOD FOR LEARNING, METHOD FOR DETERMINATION, LEARNING DEVICE, DETERMINATION DEVICE, AND COMPUTER PROGRAM

To provide a technique of suppressing increase of the learning time of a mechanical learning model or increase of time for inputting determination target data into the mechanical learning model and determining a class.SOLUTION: A method for learning includes: the step (a) of preparing plural pieces...

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Bibliographic Details
Main Authors NISHIMURA SHIN, KURASAWA HIKARU, WATANABE RYOKI
Format Patent
LanguageEnglish
Japanese
Published 22.06.2023
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Summary:To provide a technique of suppressing increase of the learning time of a mechanical learning model or increase of time for inputting determination target data into the mechanical learning model and determining a class.SOLUTION: A method for learning includes: the step (a) of preparing plural pieces of learning data; (b) dividing the plural pieces of learning data into at least one data and generating at least one input learning data group; and (c) learning M number of mechanical learning models. The step (b) includes one of the step (b1) of dividing each of the plural pieces of input data into at least one region and generating the aggregate of first-type division input data after the division which belongs to the same region, as one input learning data group and the step (b2) of dividing plural pieces of learning data into at least one data and generating the aggregate of second-type division input data after the division, as one input learning data group.SELECTED DRAWING: Figure 5 【課題】機械学習モデルの学習時間や、被判別データを機械学習モデルに入力してクラス判別を行う時間が長くなることを抑制できる技術を提供する。【解決手段】学習方法は、(a)複数の学習用データを準備する工程と、(b)複数の学習用データを1個以上に分割して、1個以上の入力学習用データ群を生成する工程と、(c)M個の機械学習モデルを学習する工程と、を備え、工程(b)は、(b1)複数の入力用データのそれぞれについて、1個以上の領域に分割して、同じ領域に属する分割後の第1種分割入力データの集合を1つの前記入力学習用データ群として生成する工程と、(b2)一つのクラスに属する複数の学習用データを1個以上に分割して、分割後の第2種分割入力データの集合を1つの入力学習用データ群として生成する工程と、のいずれか一方の工程を含む。【選択図】図5
Bibliography:Application Number: JP20210200573