本資料は、掲載誌(URI)等のリンク先にある学位授与機関のWebサイトやCiNii Dissertationsから、本文を自由に閲覧できる場合があります。
Active learning efficiently converges on rational limits of toxicity prediction and identifies patterns for molecule design
Available in National Diet Library
Find on the publisher's website
国立国会図書館デジタルコレクション
Digital data available
Check on the publisher's website
DOI[10.14989/doctor.k23092]to the data of the same series
Search by Bookstore
Read this material in an accessible format.
Table of Contents
- No matches found in the table of contents
Holdings of Libraries in Japan
This page shows libraries in Japan other than the National Diet Library that hold the material.
Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.
Search by Bookstore
Read in Disability Resources
- Other Services
Bibliographic Record
You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.
- Material Type
- 博士論文
- Author/Editor
- Ahsan, Habib Polash
- Author Heading
- Publication, Distribution, etc.
- 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