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Classification and regression trees are a popular and easy to interpret non-parametric regression approach, but are known to be very instable: Small changes in the learning sample can produce completely different trees. Therefore recently it has become state-of-the-art to consider ensembles (i.e. sets) of trees. The present paper contributes to the so-called TWIX approach, which produces ensembles...
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