(f)RFCDE: Random Forests for Conditional Density Estimation and Functional Data

17 Jun 2019Taylor PospisilAnn B. Lee

Random forests is a common non-parametric regression technique which performs well for mixed-type unordered data and irrelevant features, while being robust to monotonic variable transformations. Standard random forests, however, do not efficiently handle functional data and runs into a curse-of dimensionality when presented with high-resolution curves and surfaces... (read more)

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