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Principal variablesを用いたデータの次元における情報量損失の最小化手法
http://hdl.handle.net/10787/00033915
http://hdl.handle.net/10787/00033915e0fde6ed-1dd2-4ff3-997c-c460435371af
名前 / ファイル | ライセンス | アクション |
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openhouse-2019e5kusumoto.pdf (299.7 kB)
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Item type | 会議発表用資料 / Presentation(1) | |||||
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公開日 | 2019-06-05 | |||||
タイトル | ||||||
タイトル | Principal variablesを用いたデータの次元における情報量損失の最小化手法 | |||||
言語 | ||||||
言語 | jpn | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_c94f | |||||
資源タイプ | conference object | |||||
著者 |
楠本, 英子
× 楠本, 英子× Kusumoto, Hanako |
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内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Open House, ISM in National Center of Sciences Building, 2019.6.05 | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 統計数理研究所オープンハウス(学術総合センター)、R1.6.5 | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | ポスター発表 | |||||
書誌情報 | 発行日 2019-06-05 |