Toward a generic representation of random variables for machine learning
introduce a non-parametric representation of i.i.d. stochastic processes the presented pre-processing boosts performance of algorithms clusterings of financial time series become more stable prices clustering allows one to recover idiosyncratic risk experiments results available at www.datagrapple.com
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