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Improving classification accuracy for machine learning
https://doi.org/10.14988/00028169
https://doi.org/10.14988/000281695bc10978-6ca4-455c-9b8e-562cb247519c
名前 / ファイル | ライセンス | アクション |
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要旨/abstaract (388.8 kB)
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yk1152.pdf (1.7 MB)
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Item type | 学位論文 / Thesis or Dissertation(1) | |||||
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公開日 | 2021-05-17 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Improving classification accuracy for machine learning | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題 | 特徴選択, クラスの不均衡性, 学習データサイズ, ノイズ検出 Feature Selection, Imbalanced Data, Training Data Size, Noise Detection |
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資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_46ec | |||||
資源タイプ | thesis | |||||
ID登録 | ||||||
ID登録 | 10.14988/00028169 | |||||
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 | 機械学習における分類精度の向上 | |||||
言語 | ja | |||||
その他(別言語等)のタイトル | ||||||
その他のタイトル | キカイ ガクシュウ ニオケル ブンルイ セイド ノ コウジョウ | |||||
言語 | ja-Kana | |||||
著者 |
鄭, 弯弯
× 鄭, 弯弯 |
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著者所属 | ||||||
ja | ||||||
文化情報学研究科 | ||||||
著者所属(英) | ||||||
en | ||||||
Graduate School of Culture and Information Science | ||||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | 本論文は,5章より構成されている。第1章では,機械学習の現状,応用及び構成を述べた上,本研究で扱った三つの課題を挙げた。第2章では,小サンプルデータの特徴選択方法を提案した。第3章では,クラスの不均衡性と学習データのサイズが分類器精度への影響を検討した。第4章では,ノイズが分類器の学習を妨げる問題点に対して,多要素ベースの学習に基づいた高速クラスノイズの検出方法を提案した。第5章では,分析の主な結果をまとめ,今後の課題と展望を述べた。 | |||||
言語 | ja | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | This thesis is organized under five chapters. Chapter 1 gives a brief explanation of what machine learning is and why it matters. Chapter 2 makes a proposal to improve the performance of feature selection methods with low-sample-size data. Chapter 3 studies the effects of class imbalance and training data size on classifier learning empirically. Chapter 4 proposes a fast noise detector referring to the problems of noise detection algorithms, which are over-cleansing, large computational complexity and long response time. Chapter 5 draws a summary and the closing. | |||||
言語 | en | |||||
書誌レコードID | ||||||
識別子タイプ | NCID | |||||
関連識別子 | BC14027240 | |||||
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/BB13179266/?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 | |||||
学位名 | ||||||
言語 | ja | |||||
学位名 | 博士(文化情報学) | |||||
学位名(英) | ||||||
言語 | en | |||||
学位名 | Doctor of Culture and Information Science | |||||
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 | 2021-03-22 | |||||
学位授与番号 | ||||||
学位授与番号 | 甲第1152号 | |||||
指導教員 | ||||||
姓名 | Jin, Mingzhe | |||||
言語 | en | |||||
姓名 | 金, 明哲 | |||||
言語 | ja | |||||
姓名 | キン, メイテツ | |||||
言語 | ja-Kana |