Some Notes on Schapire's Boosting Algorithm
نویسنده
چکیده
We study Schapire's Boosting Algorithm(SBA) for use in practice. SBA is analyzed in terms of its representation and its search. We show that the SBA representation is a piecewise tiling of the domain and that if the weak learner has low coverage ability, SBA's search may fail to boost or may give a sub-optimal solution. We present a rejection boosting algorithm that trades-oo exploration and exploitation: It requires fewer pattern labels at the expense of lower boosting ability.
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