Tailoring density estimation via reproducing kernel moment matching

Proceedings of the 25th International Conference on Machine Learning

Volumn , Issue , 2008, Pages 992-999

  Song, Le ^a   Zhang, Xinhua ^a   Smola, Alex ^a   Gretton, Arthur ^b   Schölkopf, Bernhard ^b  

^a CSIRO   (Australia)

^b MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; ESTIMATION; GRAPHIC METHODS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; ROBOT LEARNING;

DENSITY ESTIMATION; DENSITY ESTIMATOR; GRAPHICAL MODEL; MESSAGE COMPRESSION; NON-PARAMETRIC ESTIMATIONS; PARAMETRIC DENSITY ESTIMATIONS; REPRODUCING KERNEL; REPRODUCING KERNEL HUBERT SPACES;

MACHINE LEARNING; PROBABILITY DENSITY FUNCTION;

DENSITY ESTIMATIONS; DENSITY ESTIMATORS; FUNCTION CLASS; GRAPHICAL MODELS; HILBERT; MESSAGE COMPRESSIONS; MIXTURE MODELS; MOMENT-MATCHING; NON-PARAMETRIC ESTIMATIONS; REPRODUCING KERNELS;

EID: 56449120109     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390156.1390281     Document Type: Conference Paper

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