Bayesian Poisson tensor factorization for inferring multilateral relations from sparse dyadic event counts

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn 2015-August, Issue , 2015, Pages 1045-1054

  Schein, Aaron ^a   Paisley, John ^b   Blei, David M ^b   Wallach, Hanna ^a  

^a University of Massachusetts Amherst   (United States)

^b Department of Earth and Environmental Sciences   (United States)

Author keywords

Bayesian inference; Dyadic data; International relations; Poisson tensor factorization

Indexed keywords

BAYESIAN NETWORKS; DATA MINING; FACTORIZATION; INFERENCE ENGINES; MAXIMUM LIKELIHOOD; TENSORS;

BAYESIAN INFERENCE; DYADIC DATA; INTERNATIONAL AFFAIRS; INTERNATIONAL RELATIONS; INTERPRETABLE REPRESENTATION; MATRIX FACTORIZATIONS; POISSON TENSORS; PREDICTIVE PERFORMANCE;

MATRIX ALGEBRA;

EID: 84954193181     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2783258.2783414     Document Type: Conference Paper

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