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博士論文

Item response theory based on deep learning with independent student and item networks

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Item response theory based on deep learning with independent student and item networks

Persistent ID (NDL)
info:ndljp/pid/12864160
Material type
博士論文
Author
堤, 瑛美子ほか
Publisher
-
Publication date
2023-03-24
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
電気通信大学,博士(工学)
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Notes on use

Note (General):

2022

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Digital

Material Type
博士論文
Author/Editor
堤, 瑛美子
Emiko, Tsutsumi
Publication Date
2023-03-24
Publication Date (W3CDTF)
2023-03-24
Alternative Title
独立な学習者・項目ネットワークをもつ深層学習を用いた項目反応理論
Degree grantor/type
電気通信大学
Date Granted
2023-03-24
Date Granted (W3CDTF)
2023-03-24