Title:
モデル学習装置、ラベル推定装置、それらの方法、およびプログラム
Document Type and Number:
Japanese Patent JP7298174
Kind Code:
B2
Abstract:
A model capable of estimating a label with high accuracy is learned even when training data involving a small number of raters per data item is used. Learning processing is performed in which a plurality of data items and label expectation values that are indicators representing degrees of correctness of individual labels on the data items are used in pairs as training data, and a model that estimates a label on an input data item is obtained.
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Inventors:
Ayumu Kamiyama name
Satoshi Kobashikawa
Atsushi Ando
Ryo Masumura
Satoshi Kobashikawa
Atsushi Ando
Ryo Masumura
Application Number:
JP2019022353A
Publication Date:
June 27, 2023
Filing Date:
February 12, 2019
Export Citation:
Assignee:
Nippon Telegraph and Telephone Corporation
International Classes:
G06N20/00; G10L15/06
Domestic Patent References:
| JP2018106662A | ||||
| JP2019022353A |
Other References:
HINTON, Geoffrey et al.,"Distilling the Knowledge in a Neural Network",arXiv [online],2015年03月,[2020年06月02日検索],インターネット,1503.02531v1
鹿島 久嗣,ほか2名,”ヒューマンコンピュテーションとクラウドソーシング”,株式会社講談社,2016年04月19日,ISBN 978-4-06-152913-7
HINTON, Geoffrey et al.,"Distilling the Knowledge in a Neural Network" [online],arXiv,2015年03月,[2020年06月02日検索],インターネット,1503.02531v1
鹿島 久嗣,ほか2名,”ヒューマンコンピュテーションとクラウドソーシング”,株式会社講談社,2016年04月19日,ISBN 978-4-06-152913-7
HINTON, Geoffrey et al.,"Distilling the Knowledge in a Neural Network" [online],arXiv,2015年03月,[2020年06月02日検索],インターネット
Attorney, Agent or Firm:
Naoki Nakao
Yukio Nakamura
Munehiro Yoshimura
Yukio Nakamura
Munehiro Yoshimura