An empirical study of practical, theoretical and online variants of random forests
Random forests are ensembles of randomized decision trees where diversity is created by injecting randomness into the fitting of each tree. The combination of their accuracy and their simplicity has resulted in their adoption in many applications. Different variants have been developed with differe...
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| Language: | English |
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University of British Columbia
2014
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| Online Access: | http://hdl.handle.net/2429/46586 |