Constructive Setting of the Density Ratio Estimation Problem and its Rigorous Solution

Vapnik, Vladimir, Braga, Igor, Izmailov, Rauf

arXiv.org Machine Learning 

We introduce a general constructive setting of the density ratio estimation problem as a solution of a (multidimensional) integral equation. In this equation, not only its right hand side is known approximately, but also the integral operator is defined approximately. We show that this ill-posed problem has a rigorous solution and obtain the solution in a closed form. The key element of this solution is the novel V-matrix, which captures the geometry of the observed samples. We compare our method with three well-known previously proposed ones. Our experimental results demonstrate the good potential of the new approach.

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