Boosting Foundations and Algorithms

• 第一著者: Schapire, Robert E. (auth)
• その他の著者: Freund, Yoav (auth)
• フォーマット: 電子媒体 図書の章
• 言語: 英語
• 出版事項: Cambridge The MIT Press 2012
• シリーズ: Adaptive Computation and Machine Learning series
• 主題: Algorithms & data structures; Machine learning; Artificial intelligence; Algorithms and data structures
• オンライン･アクセス: DOAB: download the publication; DOAB: description of the publication

An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones. Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many wea...