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Efficient Gaussian Process Regression for Large Data Sets
Bayesian Compressive Sensing Dimension Reduction
2011/7/6
Gaussian processes (GPs) are widely used in nonparametric regression, classification and spatio-temporal modeling, motivated in part by a rich literature on theoretical properties.
Efficient estimation of the cardinality of large data sets
Efficient estimation cardinality large data sets
2010/4/26
F.Giroire has recently proposed an algorithm which returns the approximate number of distincts
elements in a large sequence of words, under strong constraints coming from the analysis of large data b...