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Volumn 2, Issue , 2012, Pages 1607-1614

An infinite latent attribute model for network data

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ASSIGNMENT; EXPERIMENTAL COMPARISON; FEATURE VECTORS; HIERARCHICAL BAYESIAN MODELS; LATENT VARIABLE MODELS; LINK PREDICTION; NETWORK DATA; PREDICTIVE PERFORMANCE; REAL NETWORKS; RELATIONAL STRUCTURES; SECOND LAYER; SINGLE LAYER; SUB-CLUSTERS;

EID: 84867122524     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (73)

References (18)
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    • A split-merge Markov chain Monte Carlo procedure for the Dirichlet process mixture model
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    • Jain, S.1    Neal, R.2
  • 9
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    • Modeling social networks with node attributes using the multiplicative attribute graph model
    • Kim, M. and Leskovec, J. (2011). Modeling social networks with node attributes using the multiplicative attribute graph model. In UAI.
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    • Morup, M.1    Schmidt, M.2    Hansen, L.3
  • 13
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    • Markov chain sampling methods for Dirichlet process mixture models
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    • Estimation and prediction for stochastic blockstructures
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.