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Hongzong Li1, Jun Wang2, Nian Zhang3
1Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong.
本研究介绍了一种用于二进制矩阵因子化的新型神经动力学优化方法,增强二进制数据集的维度缩小. 这种方法提高了因数分解的准确性,并有助于模式发现.
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