Uncertainty quantified matrix completion using bayesian hierarchical matrix factorization

Proceedings - 2014 13th International Conference on Machine Learning and Applications, ICMLA 2014

Volumn , Issue , 2014, Pages 312-317

  Fazayeli, Farideh ^a   Banerjee, Arindam ^a   Kattge, Jens ^b   Schrodt, Franziska ^b   Reich, Peter B ^c  

^a University of Minnesota   (United States)

^b MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY   (Germany)

^c UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Bayesian Analysis; Probabilistic Matrix Factorization; Uncertainty Quantification

Indexed keywords

ARTIFICIAL INTELLIGENCE; DIRECTED GRAPHS; FACTORIZATION; FORECASTING; LEARNING SYSTEMS; TREES (MATHEMATICS); UNCERTAINTY ANALYSIS;

BAYESIAN ANALYSIS; DIRECTED ACYCLIC GRAPH (DAG); EMPIRICAL PERFORMANCE; HIERARCHICAL MATRIX FACTORIZATIONS; LOW-RANK MATRIX COMPLETIONS; MULTIPLE INHERITANCE; PROBABILISTIC MATRIX FACTORIZATIONS; UNCERTAINTY QUANTIFICATIONS;

MATRIX ALGEBRA;

EID: 84946687210     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2014.56     Document Type: Conference Paper

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