LocalBoost: A Parallelizable Approach to Boosting Classifiers

Neural Processing Letters, pp. 1-23, 2018.

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Abstract:

Ensemble learning is an active field of research with applications to a broad range of problems. Adaboost is a widely used ensemble approach, however, its computational burden is high because it uses an explicit diversity method for building the individual learners. To address this issue, we present a variant of Adaboost where the learner...More

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