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Costas Bampos1, Vasileios Megalooikonomou2

  • 1Computer Engineering and Informatics Department, School of Engineering, University of Patras, Patras, Greece. costas.bampos@gmail.com.

Scientific reports
|November 25, 2025
PubMed
概括

本研究介绍了用于网络动机检测的隐藏马尔科夫模型 (HMM),使复杂网络中经常出现的子图模式能够准确识别,即使有噪音数据. 新的HMM方法为分析网络结构提供了一个概率框架.

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