Gaussian process vine copulas for multivariate dependence

30th International Conference on Machine Learning, ICML 2013

Volumn , Issue PART 1, 2013, Pages 669-677

  Lopez Paz, David ^a   Hernández Lobato, Jose Miguel ^b   Ghahramani, Zoubin ^b  

^a MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS   (Germany)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; GAUSSIAN DISTRIBUTION; LEARNING SYSTEMS;

APPROXIMATE INFERENCE; BAYESIAN APPROACHES; DEPENDENCE STRUCTURES; EXPECTATION PROPAGATION; GAUSSIAN PROCESSES; MARGINAL DISTRIBUTION; REAL-WORLD DATASETS; SPARSE GAUSSIAN PROCESS;

GAUSSIAN NOISE (ELECTRONIC);

EID: 84897495502     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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