博士論文

Active learning efficiently converges on rational limits of toxicity prediction and identifies patterns for molecule design

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Active learning efficiently converges on rational limits of toxicity prediction and identifies patterns for molecule design

Persistent ID (NDL)
info:ndljp/pid/11691963
Material type
博士論文
Author
Ahsan, Habib Polash
Publisher
-
Publication date
2021-03-23
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
京都大学,博士(医学),Doctor of Medical Science
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Notes on use at the National Diet Library

Notes on use

Note (General):

付記する学位プログラム名: 充実した健康長寿社会を築く総合医療開発リーダー育成プログラム

Table of Contents

  • 2023-09-07 再収集

  • 2023-09-07 再収集

  • 2023-12-06 再収集

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  • Kyoto University Research Information Repository

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Digital

Material Type
博士論文
Author/Editor
Ahsan, Habib Polash
Author Heading
Publication Date
2021-03-23
Publication Date (W3CDTF)
2021-03-23
Alternative Title
能動的機械学習による、化学構造から毒性を予測する手法の開発、および、予測能力の限界を合理的に説明する研究
Contributor
黒田, 知宏
上杉, 志成
藤渕, 航
Degree grantor/type
京都大学
Date Granted
2021-03-23