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cs.LG2013★ 29 cited
The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures
Joseph Anderson, Mikhail Belkin, Navin Goyal +2
In this paper we show that very large mixtures of Gaussians are efficiently learnable in high dimension. More precisely, we prove that a mixture with known identical covariance mat…
cs.LG2013★ 9 cited
Inverse Density as an Inverse Problem: The Fredholm Equation Approach
Qichao Que, Mikhail Belkin
In this paper we address the problem of estimating the ratio where is a density function and is another density, or, more generally an arbitrary function. Kno…