Tag: forests
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Asymptotic Normality of Infinite Centered Random Forests -Application to Imbalanced Classification
Asymptotic Normality of Infinite Centered Random Forests -Application to Imbalanced Classification arXiv:2506.08548v1 Announce Type: new Abstract: Many classification tasks involve imbalanced data, in which a class is largely underrepresented. Several techniques consists in creating a rebalanced dataset on which a classifier is trained. In this paper, we study theoretically such a procedure, when the classifier…
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When do Random Forests work?
When do Random Forests work? arXiv:2504.12860v1 Announce Type: new Abstract: We study the effectiveness of randomizing split-directions in random forests. Prior literature has shown that, on the one hand, randomization can reduce variance through decorrelation, and, on the other hand, randomization regularizes and works in low signal-to-noise ratio (SNR) environments. First, we bring together and…