BNGBS: an efficient network boosting system with triple incremental learning capabilities for more nodes, samples, and classes

Liangjun Feng,Chunhui Zhao,C.L. Philip Chen,YuanLong Li,Min Zhou,Honglin Qiao,Chuan Fu

Neurocomputing（2020）

引用 12|浏览13

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摘要

•BNGBS is proposed to pursue an efficient learning process for classification task.•Triple incremental abilities are developed to learn more nodes, samples, and classes.•Extensive experiments are conducted on eight datasets to validate the effectiveness.

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关键词

Additive model,Broad network,Cascade model,Greedy strategy,Gradient boosting machine,Incremental learning

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