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博士論文

Algorithms for Accelerating Machine Learning with Wide and Deep Models

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国立国会図書館デジタルコレクション

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DOI[10.14989/doctor.k23310]to the data of the same series

Algorithms for Accelerating Machine Learning with Wide and Deep Models

Persistent ID (NDL)
info:ndljp/pid/11691826
Material type
博士論文
Author
Ida, Yasutoshi
Publisher
-
Publication date
2021-03-23
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
京都大学,博士(情報学),Doctor of Informatics
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元資料の権利情報 : 2章は同著者らによる論文1. Advances in Neural Information Processing Systems 32, 2019.と2. 人工知能学会論文誌, 36(1), A-JB1 1-11, 2021.に基づく。4章は同著者らによる論文1.Proceed...

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Table of Contents

Provided by：国立国会図書館デジタルコレクションLink to Help Page

  • 2023-09-08 再収集

  • 2023-09-08 再収集

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Digital

Material Type
博士論文
Title
Algorithms for Accelerating Machine Learning with Wide and Deep Models
Author/Editor
Ida, Yasutoshi
Author Heading
Ida, Yasutoshi
Publication Date
2021-03-23
Publication Date (W3CDTF)
2021-03-23
Alternative Title
Wide・Deepモデルを用いた機械学習を高速化するためのアルゴリズム
Contributor
鹿島, 久嗣
田中, 利幸
山下, 信雄
Degree grantor/type
京都大学
Date Granted
2021-03-23