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Boundary uncertainty-based classifier evaluation
https://doi.org/10.14988/00001562
https://doi.org/10.14988/00001562a622bc53-95d7-483d-aa33-48d403aefdba
名前 / ファイル | ライセンス | アクション |
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Item type | 学位論文 / Thesis or Dissertation(1) | |||||
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公開日 | 2019-10-16 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Boundary uncertainty-based classifier evaluation | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題 | パターン分類, ベイズリスク, 分類器評価, 分類器選択, 分類境界, 境界曖昧性 Pattern classification, Bayes risk, Classifier evaluation, Classifier selection, Classification boundary, Boundary uncertainty |
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資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_db06 | |||||
資源タイプ | doctoral thesis | |||||
ID登録 | ||||||
ID登録 | 10.14988/00001562 | |||||
ID登録タイプ | JaLC | |||||
アクセス権 | ||||||
アクセス権 | open access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
その他(別言語等)のタイトル | ||||||
その他のタイトル | 境界曖昧性に基づく分類器評価 | |||||
言語 | ja | |||||
その他(別言語等)のタイトル | ||||||
その他のタイトル | キョウカイ アイマイセイ ニ モトズク ブンルイキ ヒョウカ | |||||
言語 | ja-Kana | |||||
著者 |
ア, デイビッド
× ア, デイビッド |
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著者所属 | ||||||
ja | ||||||
理工学研究科 | ||||||
著者所属(英) | ||||||
en | ||||||
Graduate School of Science and Engineering | ||||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | 種々の分類器を対象として,有限個の学習データのみが利用可能である現実においても理論的に的確で計算量的にも実際的な,分類器性能評価手法を提案する.分類器評価における難しさは,有限データのみの利用に起因する分類誤り推定に伴う偏りの発生にある.この困難を解決するため,「境界曖昧性」と呼ばれる新しい評価尺度を提案し,それを用いる評価法の有用性を,3種の分類器と13個のデータセットを用いた実験を通して実証する. | |||||
言語 | ja | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | We propose a general method that makes accurate evaluation of any classifier model for realistic tasks, both in a theoretical sense despite the finiteness of the available data, and in a practical sense in terms of computation costs. The classifier evaluation challenge arises from the bias of the classification error estimate that is only based on finite data. We bypass this existing difficulty by proposing a new classifier evaluation measure called "boundary uncertainty'' whose estimate based on finite data can be considered a reliable representative of its expectation based on infinite data, and demonstrate the potential of our approach on three classifier models and thirteen datasets. | |||||
言語 | en | |||||
書誌レコードID | ||||||
識別子タイプ | NCID | |||||
関連識別子 | BC02544595 | |||||
関連サイト | ||||||
関連タイプ | isFormatOf | |||||
識別子タイプ | URI | |||||
関連識別子 | https://doors.doshisha.ac.jp/opac/opac_link/bibid/BB13128126/?lang=0 | |||||
言語 | ja | |||||
関連名称 | 掲載刊行物所蔵情報へのリンク / Link to Contents | |||||
フォーマット | ||||||
内容記述タイプ | Other | |||||
内容記述 | application/pdf | |||||
出版タイプ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
学位名 | ||||||
言語 | ja | |||||
学位名 | 博士(工学) | |||||
学位名(英) | ||||||
言語 | en | |||||
学位名 | Doctor of Philosophy in Engineering | |||||
学位授与機関 | ||||||
学位授与機関識別子Scheme | kakenhi | |||||
学位授与機関識別子 | 34310 | |||||
言語 | ja | |||||
学位授与機関名 | 同志社大学 | |||||
言語 | en | |||||
学位授与機関名 | Doshisha University | |||||
学位授与年月日 | ||||||
学位授与年月日 | 2019-09-20 | |||||
学位授与番号 | ||||||
学位授与番号 | 甲第1043号 |