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Consistency of Online Random Forests

Abstract:
As a testament to their success, the theory of random forests has long been outpaced by their application in practice. In this paper, we take a step towards narrowing this gap by providing a consistency result for online random forests.

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Host title:
International Conference on Machine Learning (ICML)
Publication date:
2013-01-01
UUID:
uuid:d2450103-5d39-41c4-964d-eb762224314d
Local pid:
cs:7204
Deposit date:
2015-03-31

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