Modeling of growing networks with directional attachment and communities

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概要

• 論文の詳細を見る
• 2004-09-01

著者

• SAITO KAZUMI

  NTT Communication Science Laboratories

• KIMURA MASAHIRO

  NTT Communication Science Laboratories

• UEDA Naonori

  NTT Communication Science Laboratories

関連論文

• SBSOM : Self-Organizing Map for Visualizing Structure in the Time Series of Hot Topics(Text Mining I)
• SBSOM : Self-Organizing Map for Visualizing Structure in the Time Series of Hot Topics(Text Mining I)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)
• Extracting Communities from Complex Networks by the k-Dense Method
• Kinetic Evaluation and Characterization of Ceramic Honeycomb-Monolith Bioreactor
• Bayesian model search for mixture models based on optimizing variational bounds
• Selection of Shared-State Hidden Markov Model Structure Using Bayesian Criterion(the 2003 IEICE Excellent Paper Award)
• EM Algorithm with Split and Merge Operations for Mixture Models(Excellent Paper Originally Published in Japanese)
• Extracting regression rules from neural networks
• Modeling of growing networks with directional attachment and communities

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