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Fast Kernel Density Estimation with Density Matrices and Random Fourier Features
In this paper, we systematically evaluate the novel DMKDE algorithm and compare it with other state-of-the-art fast procedures for approximating the kernel density estimation method on different synthetic data sets.
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