Downloads: 268

Files in This Item:
File Description SizeFormat 
yjohk00668.pdfAbstract_要旨543.6 kBAdobe PDFView/Open
djohk00668.pdfDissertation_全文8.48 MBAdobe PDFView/Open
Title: Interpretable machine learning approaches to high-dimensional data and their applications to biomedical engineering problems
Other Titles: 高次元データへの解釈可能な機械学習アプローチとその医用工学問題への適用
Authors: Yoshida, Kosuke
Author's alias: 吉田, 光佑
Keywords: machine learning
high-dimensional data
biomedical engineering
depression
fMRI
kernel method
Issue Date: 26-Mar-2018
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21215号
Degree no.: 情博第668号
Conferral date: 2018-03-26
Degree Call no.: 新制||情||115(附属図書館)
Degree Affiliation: 京都大学大学院情報学研究科システム科学専攻
Examination Committee members: (主査)教授 石井 信, 教授 下平 英寿, 教授 加納 学, 銅谷 賢治
Provisions of the Ruling of Degree: 学位規則第4条第1項該当
DOI: 10.14989/doctor.k21215
URI: http://hdl.handle.net/2433/232416
Appears in Collections:140 Doctoral Dissertation (Informatics)

Show full item record

Export to RefWorks


Export Format: 


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.