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Three papers on boosting: an introduction
Author(s) -
Vladimir Koltchinskii,
Bin Yu
Publication year - 2004
Publication title -
annals of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.877
H-Index - 178
eISSN - 2168-8966
pISSN - 0090-5364
DOI - 10.1214/aos/1079120127
Subject(s) - boosting (machine learning) , adaboost , artificial intelligence , mathematics , machine learning , learnability , probably approximately correct learning , generalization , computational learning theory , gradient boosting , generalization error , algorithm , computer science , classifier (uml) , artificial neural network , unsupervised learning , mathematical analysis , random forest

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