Downloads: 405

Files in This Item:
File Description SizeFormat 
djohk00537.pdfDissertation_全文1.61 MBAdobe PDFView/Open
yjohk00537.pdfAbstract_要旨496.7 kBAdobe PDFView/Open
Title: Numerical Optimization Methods based on Discrete Structure for Text Summarization and Relational Learning
Other Titles: 文書要約と関係学習のための離散構造に基づいた数値最適化法
Authors: Nishino, Masaaki
Author's alias: 西野, 正彬
Keywords: Numerical Optimization
Discrete Structure
Relational Learning
Text Summarization
Natural Language Processing
Machine Learning
Issue Date: 24-Sep-2014
Publisher: 京都大学 (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18613号
Degree no.: 情博第537号
Conferral date: 2014-09-24
Degree Call no.: 新制||情||95(附属図書館)
Degree Serial no.: 31513
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 山本 章博, 教授 黒橋 禎夫, 教授 阿久津 達也
Provisions of the Ruling of Degree: 学位規則第4条第1項該当
Rights: The contents in Chapter 2 were first published in Transactions of the Japanese Society for Artificial Intelligence, 28(5). The contents in Chapter 4 were first published in Proceedings of 2014 SIAM International Conference on Data Mining, published by the Society of Industrial and Applied Mathematics (SIAM). Copyright © SIAM. Unauthorized reproduction of this article is prohibited.
DOI: 10.14989/doctor.k18613
URI: http://hdl.handle.net/2433/192213
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.