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Mar, 2024
基于高效神经网络扩散的深度学习训练的绑定
BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion
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Jia Wei, Xingjun Zhang, Witold Pedrycz
TL;DR
提出了一种基于高效神经网络扩散(BEND)的Bagging深度学习训练算法,通过使用多个训练的扩散模型构建基础分类器,实现多样性和降低成本,取得了比传统方法更好的准确性和多样性,并成功引入了扩散模型进入新的深度学习训练领域。
Abstract
bagging
has achieved great success in the field of machine learning by integrating multiple
base classifiers
to build a single strong classifier to reduce model variance. The performance improvement of
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