Escaping the curse of dimensionality with a tree-based regressor

Details Escaping the curse of dimensionality with a tree-based regressor Escaping the curse of dimensionality with a tree-based regressor

2009-02-19

arxiv.org/abs/0902.3453v1

Statistics

Machine Learning

Scientific paper

We present the first tree-based regressor whose convergence rate depends only
on the intrinsic dimension of the data, namely its Assouad dimension. The
regressor uses the RPtree partitioning procedure, a simple randomized variant
of k-d trees.

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