Boosting foundations and algorithms

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Bibliographic Details
Main Author Schapire, Robert E.
Other Authors Freund, Yoav
Format eBook
LanguageEnglish
Published Cambridge, MA : MIT Press, c2012.
SeriesAdaptive computation and machine learning.
Subjects
Online AccessFull text
ISBN9780262301183
Physical Description1 online zdroj (xv, 526 p.) : ill.

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100 1 |a Schapire, Robert E. 
245 1 0 |a Boosting  |h [elektronický zdroj] :  |b foundations and algorithms /  |c Robert E. Schapire and Yoav Freund. 
260 |a Cambridge, MA :  |b MIT Press,  |c c2012. 
300 |a 1 online zdroj (xv, 526 p.) :  |b ill. 
490 1 |a Adaptive computation and machine learning 
504 |a Includes bibliographical references and index. 
505 0 |a 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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity 
650 0 |a Boosting (Algorithms) 
650 0 |a Supervised learning (Machine learning) 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Freund, Yoav. 
776 0 8 |i Print version:  |a Schapire, Robert E.  |t Boosting.  |d Cambridge, MA : MIT Press, c2012  |z 9780262017183  |w (DLC) 2011038972  |w (OCoLC)758388404 
830 0 |a Adaptive computation and machine learning. 
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