Sparse nonparametric density estimation in high dimensions using the rodeo

Journal of Machine Learning Research

Volumn 2, Issue , 2007, Pages 283-290

  Liu, Han ^a,b   Lafferty, John ^b   Wasserman, Larry ^a,b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CURSE OF DIMENSIONALITY; EXPECTATION OPERATOR; HIGH DIMENSIONS; HIGH-DIMENSIONAL PROBLEMS; JOINT DENSITIES; KERNEL DENSITY ESTIMATE; MINIMAX; NON-PARAMETRIC; NON-PARAMETRIC REGRESSION; NONPARAMETRIC DENSITY ESTIMATION; PARAMETRIC COMPONENTS; RANDOM VECTORS; RATES OF CONVERGENCE;

BANDWIDTH; MAXIMUM LIKELIHOOD ESTIMATION;

ARTIFICIAL INTELLIGENCE;

EID: 84862274178     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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