Sparse Gaussian process regression via L1 penalization

ICML 2010 - Proceedings, 27th International Conference on Machine Learning

Volumn , Issue , 2010, Pages 1183-1190

  Van, Feng ^a   Qi, Yuan ^b  

^a Purdue University   (United States)

^b PURDUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION QUALITY; CHOLESKY FACTORIZATIONS; COMPUTATIONAL COSTS; CONVEX COST; DATA SETS; GAUSSIAN PROCESS; GAUSSIAN PROCESS REGRESSION; KL-DIVERGENCE; LOW-RANK MATRICES; MASSIVE DATA; OPTIMIZATION PROCEDURES; OVERFITTING; PREDICTION ACCURACY; SPEED-UPS; SYNTHETIC AND REAL DATA;

APPROXIMATION THEORY; COSTS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); LEARNING SYSTEMS; OPTIMIZATION;

COMPUTATIONAL METHODS;

EID: 77956496089     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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