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Voting based Extreme learning machine with entropy based ensemble pruning

机译:基于熵基的集合修剪的投票基于极端学习机

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摘要

Voting based Extreme learning machine was recently proposed to reduce the error due to variance in Extreme Learning Machine. This paper further refines the algorithm by using entropy based ensemble pruning. Results obtained shows significant improvement in performance along with reduction in computational and storage requirement.
机译:最近基于投票的极端学习机,以减少由于极端学习机的方差导致的错误。本文还通过使用基于熵的集合修剪来改进算法。获得的结果显示出性能的显着改善以及计算和储存要求的降低。

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