Fast Exact Inference Algorithms for Bayesian Networks Based on ZDD Operations

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DOI[10.14943/doctoral.k13380]to the data of the same series

Fast Exact Inference Algorithms for Bayesian Networks Based on ZDD Operations

Persistent ID (NDL): info:ndljp/pid/11239354

Material type: 博士論文

Author: 高, 姗

Publisher: Hokkaido University

Publication date: 2018-12-25

Material Format: Digital

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Name of awarding university/degree: 北海道大学,博士(情報科学)

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Note (General)：: (主査) 教授有村博紀, 教授 Zeugmann Thomas, 准教授瀧川一学情報科学研究科（情報理工学専攻）

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Material Type: 博士論文
Title: Fast Exact Inference Algorithms for Bayesian Networks Based on ZDD Operations
Author/Editor: 高, 姗
Author Heading: 高, 姗
Publication, Distribution, etc.: Hokkaido University
Publication Date: 2018-12-25
Publication Date (W3CDTF): 2018-12-25
Alternative Title: ZDD演算に基づくベイジアンネットワークの高速かつ厳密な確率推論アルゴリズム
Contributor: 有村, 博紀
Zeugmann, Thomas
瀧川, 一学
Degree grantor/type: 北海道大学
Date Granted: 2018-12-25
Date Granted (W3CDTF): 2018-12-25
Dissertation Number: 甲第13380号
Degree Type: 博士(情報科学)
Conferring No. (Dissertation): 甲第13380号
Text Language Code: eng
Alias of Author: Gao, Shan
高, サン
NDC: 500
Target Audience: 一般
Note (General): (主査) 教授有村博紀, 教授 Zeugmann Thomas, 准教授瀧川一学
情報科学研究科（情報理工学専攻）
DOI: 10.14943/doctoral.k13380
https://doi.org/10.14943/doctoral.k13380
Persistent ID (NDL): info:ndljp/pid/11239354
https://dl.ndl.go.jp/pid/11239354
Collection: 障害者向け資料
Collection (Materials For Handicapped People:1): テキストデータ
Collection (particular): 国立国会図書館デジタルコレクション > デジタル化資料 > 博士論文
https://dl.ndl.go.jp/collections/A00014
Acquisition Basis: 博士論文（自動収集）
Date Accepted (W3CDTF): 2019-02-03T04:35:56+09:00
Date Created (W3CDTF): 2018-11
Format (IMT): PDF
Access Restrictions: 国立国会図書館内限定公開
Service for the Digitized Contents Transmission Service: 図書館・個人送信対象外
Availability of remote photoduplication service: 可
Periodical Title (URI): http://dx.doi.org/10.14943/doctoral.k13380
http://hdl.handle.net/2115/72365
Is Referenced By (URI): http://hdl.handle.net/2115/72363
Data Provider (Database): 国立国会図書館 : 国立国会図書館デジタルコレクション
https://dl.ndl.go.jp