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05 2017 档案
Boosting
摘要：Boosting is a greedy alogrithm. The alogrithm works by applying the weak learner sequentially to weighted version of the data, where more weight is gi
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Adaboost
摘要：Boosting is a very powerful technique of alogrithms ensembling. Its outstanding performance achieved by combining some or many weak classifiers to mak
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