Sparse matrix-variate Gaussian process blockmodels for network modeling

Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence, UAI 2011

Volumn , Issue , 2011, Pages 745-752

  Yan, Feng ^a   Xu, Zenglin ^a   Qi, Yuan ^a,b  

^a Purdue University   (United States)

^b PURDUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; GAUSSIAN NOISE (ELECTRONIC); MATRIX ALGEBRA; MAXIMUM PRINCIPLE; SOCIAL NETWORKING (ONLINE);

CRITICAL PROBLEMS; EXPECTATION-MAXIMIZATION METHOD; GAUSSIAN PROCESSES; INDIVIDUAL NETWORK; NETWORK INTERACTION; ON-LINE SOCIAL NETWORKS; PROTEIN INTERACTION; REAL-WORLD NETWORKS;

GAUSSIAN DISTRIBUTION;

EID: 80053163690     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

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