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Updated: May 30, 2025

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在线集合模型压缩用于非静态数据流学习

Rodrigo G F Soares1, Leandro L Minku2

  • 1Department of Statistics and Informatics, Federal Rural University of Pernambuco, Rua Dom Manoel de Medeiros, s/n, Recife, 52171-900, Pernambuco, Brazil.

Neural networks : the official journal of the International Neural Network Society
|January 29, 2025
PubMed
概括

在线权重平均 (OWA) 将不断发展的神经网络压缩为非静止数据流的单一模型. 这种方法为概念漂移适应提供了显著的计算节约,同时保持了预测性能.

关键词:
数据流学习的数据流学习.组合学习学习 组合学习神经网络的神经网络的神经网络不稳定的环境 不稳定的环境在线模型压缩压缩.

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