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Title: Extracting Rules from Trained Machine Learning Models with Applications in Bioinformatics
Other Titles: 機械学習モデルからの知識抽出と生命情報学への応用
Authors: Liu, Pengyu
Author's alias: 劉, 鵬宇
Keywords: Machine learning
Neural networks
Boolean functions
Rule extraction
Dynamic programming
Dicer cleavage site
Gradient boosting machine
Issue Date: 24-May-2021
Publisher: Kyoto University
Conferring University: 京都大学
Degree Level: 新制・課程博士
Degree Discipline: 博士(情報学)
Degree Report no.: 甲第23397号
Degree no.: 情博第766号
Conferral date: 2021-05-24
Degree Call no.: 新制||情||131(附属図書館)
Degree Affiliation: 京都大学大学院情報学研究科知能情報学専攻
Examination Committee members: (主査)教授 阿久津 達也, 教授 山本 章博, 教授 鹿島 久嗣
Provisions of the Ruling of Degree: 学位規則第4条第1項該当
DOI: 10.14989/doctor.k23397
URI: http://hdl.handle.net/2433/264678
Appears in Collections:140 Doctoral Dissertation (Informatics)

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