Kernel constrained covariance for dependence measurement

AISTATS 2005 - Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics

Volumn , Issue , 2005, Pages 112-119

  Gretton, Arthur ^a   Smola, Alexander ^b   Bousquet, Olivier ^a   Herbrich, Ralf ^c   Belitski, Andrei ^a   Augath, Mark ^a   Murayama, Yusuke ^a   Pauls, Jon ^a   Schölkopf, Bernhard ^a   Logothetis, Nikos ^a  

^a MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

^b CSIRO   (Australia)

^c MICROSOFT RESEARCH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EXPONENTIAL CONVERGENCE; INDEPENDENCE TESTS; MACAQUE MONKEYS; MUTUAL INFORMATIONS; NEURAL ACTIVITY; NON-SMOOTH; NOVEL CRITERION; REPRODUCING KERNEL HILBERT SPACES; SOURCE DENSITY; STATISTICAL DEPENDENCE;

ARTIFICIAL INTELLIGENCE; NEURONS;

RANDOM VARIABLES;

EID: 29144505110     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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