A kernel statistical test of independence

Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference

Volumn , Issue , 2008, Pages

  Gretton, Arthur ^a   Fukumizu, Kenji ^b   Teo, Choon Hui ^c   Song, Le ^c   Schölkopf, Bernhard ^a   Smola, Alexander J ^c  

^a MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

^b INSTITUTE OF STATISTICAL MATHEMATICS   (Japan)

^c UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; TESTING;

CONTINGENCY TABLE; FUNCTIONAL CORRELATION; HILBERT-SCHMIDT INDEPENDENCE CRITERIONS; INDEPENDENCE MEASURE; KERNEL ICA; MACHINE-LEARNING; MULTIVARIATE DATA; SAMPLE SIZES; TEST COST; TEST OF INDEPENDENCES;

LEARNING SYSTEMS;

EID: 85162060108     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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