TRAINING DEVICE, ESTIMATION DEVICE, METHOD AND PROGRAM

It is possible to learn a model for accurately estimating a label indicating the condition of data. A first model for determining, for each label, the likelihood of the label is learned, time-series likelihood data that is the likelihood of each label at each time is output for each piece of learnin...

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Bibliographic Details
Main Authors KURAUCHI, Yuki, ABE, Naoto, SESHIMO, Hitoshi
Format Patent
LanguageEnglish
Published 06.01.2022
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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Summary:It is possible to learn a model for accurately estimating a label indicating the condition of data. A first model for determining, for each label, the likelihood of the label is learned, time-series likelihood data that is the likelihood of each label at each time is output for each piece of learning data, the time-series likelihood data for each piece of the learning data given a correct label is input, and machine learning is performed to learn a second model for outputting one of the labels based on a change in the likelihood of each label.
Bibliography:Application Number: US201917293728