자료유형 | 단행본 |
---|---|
서명/저자사항 | Boosting [electronic resource]: foundations and algorithms / Robert E. Schapire and Yoav Freund. |
개인저자 | Schapire, Robert E. Freund, Yoav. |
발행사항 | Cambridge, MA: MIT Press, c2012. |
형태사항 | 1 online resource (xv, 526 p.) : ill. |
총서사항 | Adaptive computation and machine learning |
기타형태 저록 | Print version: Schapire, Robert E. Boosting. Cambridge, MA : MIT Press, c2012 9780262017183 |
ISBN | 9780262301183 (electronic bk.) 0262301180 (electronic bk.) |
기타표준부호 | 9786613655288 |
서지주기 | Includes bibliographical references and index. |
내용주기 | Foundations of machine learning -- Using AdaBoost to minimize training error -- Direct bounds on the generalization error -- The margins explanation for boosting's effectiveness -- Game theory, online learning, and boosting -- Loss minimization and generalizations of boosting -- Boosting, convex optimization, and information geometry -- Using confidence-rated weak predictions -- Multiclass classification problems -- Learning to rank -- Attaining the best possible accuracy -- Optimally efficient boosting -- Boosting in continuous time. |
일반주제명 | Boosting (Algorithms) Supervised learning (Machine learning) COMPUTERS / Enterprise Applications / Business Intelligence Tools. COMPUTERS / Intelligence (AI) & Semantics. Boosting (Algorithms). Supervised learning (Machine learning). |
분류기호(DDC) | 006.31 |
언어 | 영어 |
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No. | 등록번호 | 청구기호 | 소장처 | 밀집번호 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
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1 | E161271 | EB 006.31 | 중앙도서관[본관]/E-Book/ | 대출가능 |