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Kernel methods represent one of the most powerful tools in machine learning to tackle problems expressed in terms of function values and derivatives due to their capability to represent and model complex relations.
The empirical characteristic function and its applications
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On how long interval is the empirical characteristic function uniformly consistent?
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