Numerical Optimization Methods based on Discrete Structure for Text Summarization and Relational Learning / 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

Description

京都大学 / 0048 / 新制・課程博士 / 博士(情報学) / 甲第18613号 / 情博第537号 / 新制||情||95(附属図書館) / 31513 / 京都大学大学院情報学研究科知能情報学専攻 / (主査)教授 山本 章博, 教授 黒橋 禎夫, 教授 阿久津 達也 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM

Links & Downloads

1. http://hdl.handle.net/2433/192213
2. 14301甲第18613号
3. 10.14989/doctor.k18613
4. 14301

Tags

Numerical Optimization

Discrete Structure

Relational Learning

Text Summarization

Natural Language Processing

Machine Learning

007

Additional Fields

Identifer	oai:union.ndltd.org:kyoto-u.ac.jp/oai:repository.kulib.kyoto-u.ac.jp:2433/192213
Date	24 September 2014
Creators	Nishino, Masaaki
Contributors	山本, 章博, 黒橋, 禎夫, 阿久津, 達也, 西野, 正彬, ニシノ, マサアキ
Publisher	京都大学 (Kyoto University), 京都大学
Source Sets	Kyoto University
Language	English
Detected Language	English
Type	doctoral thesis, Thesis or Dissertation
Format	application/pdf
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.