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stat.ML2017
Consistent Kernel Density Estimation with Non-Vanishing Bandwidth
Efrén Cruz Cortés, Clayton Scott
Consistency of the kernel density estimator requires that the kernel bandwidth tends to zero as the sample size grows. In this paper we investigate the question of whether consiste…
stat.ML2015★ 2 cited
Sparse Approximation of a Kernel Mean
E. Cruz Cortés, C. Scott
Kernel means are frequently used to represent probability distributions in machine learning problems. In particular, the well known kernel density estimator and the kernel mean emb…