有限インパルス応答モデルとマルコフモデルに対するベイズ則を用いたモデリング問題

Material type: 博士論文

Author: 鄭, 曼

Publisher: Kyoto University

Publication date: 2021-03-23

Material Format: Digital

Capacity, size, etc.: -

Name of awarding university/degree: 京都大学,博士(情報学),Doctor of Informatics

View All

Search by Bookstore

Holdings of Libraries in Japan

This page shows libraries in Japan other than the National Diet Library that hold the material.

List of Cooperating Institutions and Databases

Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.

other

Kyoto University Research Information Repository
Digital
You can check the holdings of institutions and databases with which Institutional Repositories DataBase(IRDB)(Institutional Repository) is linked at the site of Institutional Repositories DataBase(IRDB)(Institutional Repository).
Kyoto University Research Information Repository

Search by Bookstore

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.

Digital

Material Type: 博士論文
Title: 有限インパルス応答モデルとマルコフモデルに対するベイズ則を用いたモデリング問題
Author/Editor: 鄭, 曼
Author Heading: 鄭, 曼テイ, マン
Publication, Distribution, etc.: Kyoto University
Publication Date: 2021-03-23
Publication Date (W3CDTF): 2021-03-23
Alternative Title: Modeling problems using Bayes' rule for finite impulse response models and Markov models
Contributor: 太田, 快人
山下, 信雄
大塚, 敏之
Degree grantor/type: 京都大学
Date Granted: 2021-03-23
Dissertation Number: 甲第23321号
Degree Type: 博士(情報学)
Doctor of Informatics
Text Language Code: eng
Subject Heading: System identification
Positive system
Experimental design
Aggregated Markov model
Model reduction
NDC: 007
Target Audience: 一般
DOI: 10.14989/doctor.k23321
Access Restrictions: インターネット公開
Rights (production): 学位規則第9条第2項により要約公開
許諾条件により要約は2022-03-01に公開
出典の明記が必要: Bayesian positive system identification: Truncated Gaussian prior and hyperparameter estimation. Systems & Control Letters. Volume 148, 2021. DOI:10.1016/j.sysconle.2020.104857. 出典の明記とcopyright noticeが必要: The reducibility of reachable space for structured hidden markov models.In 2020 59th IEEE Conference on Decision and Control (CDC). DOI:10.1109/CDC42340.2020.9304037.
Is Version Of (DOI): 10.1016/j.sysconle.2020.104857
http://hdl.handle.net/2433/263782
10.1109/CDC42340.2020.9304037
http://hdl.handle.net/2433/263782
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 京都大学 : 京都大学学術情報リポジトリ