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Updated: Jun 29, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

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基于神经矩阵因子化++的推系统

Kyle Ong1, Kok-Why Ng1, Su-Cheng Haw1

  • 1Faculty of Computing and Informatics, Multimedia University, Persiaran Multimedia, Cyberjaya, Selangor, 63100, Malaysia.

F1000Research
|March 29, 2024
PubMed
概括

这项研究介绍了神经矩阵因子化++ (NeuMF++),这是一个改进的推系统,通过集成堆叠无序自编码器来提高准确性和解决数据稀疏性. NeuMF++通过学习更丰富的用户和项目功能,显著提高了推性能.

关键词:
协作过 合作过深度神经网络 深度神经网络矩阵因子分解矩阵因子分解神经协作过. 神经协作过.推者系统推者系统

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