Estimating squared-loss mutual information for independent component analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5441, Issue , 2009, Pages 130-137

  Suzuki, Taiji ^a   Sugiyama, Masashi ^b  

^a UNIVERSITY OF TOKYO   (Japan)

^b TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Cross validation; Density ratio estimation; Independent component analysis; Mutual information; Squared loss

Indexed keywords

BASIC IDEA; CROSS-VALIDATION; DENSITY ESTIMATION; DENSITY RATIO ESTIMATION; ESTIMATION METHODS; HARD TASK; ICA ALGORITHMS; INDEPENDENCE MEASURE; KEY COMPONENT; LEAST SQUARE; MODEL SELECTION; MUTUAL INFORMATION; MUTUAL INFORMATIONS; PROBABILITY DENSITIES; REGULARIZATION PARAMETERS; SQUARED LOSS; STATISTICAL INDEPENDENCE; TUNING PARAMETER; USEFUL PROPERTIES;

BLIND SOURCE SEPARATION; EDUCATION; ESTIMATION; HEMODYNAMICS; PROBABILITY DENSITY FUNCTION; RANDOM VARIABLES;

INDEPENDENT COMPONENT ANALYSIS;

EID: 67149119010     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-00599-2_17     Document Type: Conference Paper

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