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博士論文

Study on Quasi-Linear Kernel Composition for Support Vector Machines using Supervised, Unsupervised and Transfer Learning

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Study on Quasi-Linear Kernel Composition for Support Vector Machines using Supervised, Unsupervised and Transfer Learning

Persistent ID (NDL)
info:ndljp/pid/11300762
Material type
博士論文
Author
Li, Weite
Publisher
-
Publication date
2018
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
早稲田大学,博士(工学)
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早大学位記番号:新8028

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

  • 2023-04-26 再収集

  • 2023-04-26 再収集

  • 2023-04-26 再収集

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Digital

Material Type
博士論文
Title
Study on Quasi-Linear Kernel Composition for Support Vector Machines using Supervised, Unsupervised and Transfer Learning
Author/Editor
Li, Weite
Author Heading
Li, Weite
Publication Date
2018
Publication Date (W3CDTF)
2018
Alternative Title
教師あり学習、教師なし学習および転移学習を用いたサポートベクターマシンのための準線形カーネルの構築に関する研究
Degree grantor/type
早稲田大学
Date Granted
2019-03-15
Date Granted (W3CDTF)
2019-03-15