変化検知のための統計的機械学習

• Material Type: 博士論文
• Title: 変化検知のための統計的機械学習
• Author/Editor: LIU, SONG; Liu, Song
• Author Heading: LIU, SONG; Liu, Song
• Publication Date: 2014-03
• Publication Date (W3CDTF): 2014-03
• Alternative Title: Statistical Machine Learning Approaches to Change Detection
• Degree grantor/type: 東京工業大学
• Date Granted: 2014-03-26
• Date Granted (W3CDTF): 2014-03-26
• Dissertation Number: 甲第9555号
• Degree Type: 博士(工学)
• Conferring No. (Dissertation): 甲第9555号
• Text Language Code: eng
• Subject Heading: Change Detection, Machine Learning, Density Ratio Estimation
• Target Audience: 一般
• Note (General): In this thesis, we focus on unsupervised change detection, and propose two novel approaches in distributional and structural change detection respectively. First, we propose a statistical change-point detection algorithm based on non-parametric divergence estimation between time-series samples from two retrospective segments. Our method uses the relative Pearson divergence as a divergence measure, and it is accurately estimated by a method of density ratio estimation. Second, we propose a method for detecting changes in Markov network structure between two sets of samples. Instead of naively fitting two Markov network models separately to the two data sets and figuring out their difference, we directly learn the network structure change by estimating the ratio of Markov network models. The usefulness of both methods is demonstrated by experiments. The results show that the proposed methods can successfully capture the changes of patterns in many real-world applications.; identifier:oai:t2r2.star.titech.ac.jp:50230928
• Persistent ID (NDL): info:ndljp/pid/9424597; https://dl.ndl.go.jp/pid/9424597
• 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): 2015-07-01T13:17:09+09:00
• Date Created (W3CDTF): 2014-02-21
• Format (IMT): application/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://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100666815
• 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

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2021-05-17 再収集