Abstract | ||
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The original random forests (RFs) algorithm has been widely used and has achieved excellent performance for the classification and regression tasks. However, the research on the theory of RFs lags far behind its applications. In this article, to narrow the gap between the applications and the theory of RFs, we propose a new RFs algorithm, called random Shapley forests (RSFs), based on the Shapley ... |
Year | DOI | Venue |
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2022 | 10.1109/TCYB.2020.2972956 | IEEE Transactions on Cybernetics |
Keywords | DocType | Volume |
Radio frequency,Vegetation,Forestry,Games,Prediction algorithms,Decision trees,Random forests | Journal | 52 |
Issue | ISSN | Citations |
1 | 2168-2267 | 0 |
PageRank | References | Authors |
0.34 | 16 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
jianyuan sun | 1 | 4 | 2.77 |
Hui Yu | 2 | 128 | 21.50 |
Guoqiang Zhong | 3 | 123 | 20.68 |
Junyu Dong | 4 | 393 | 77.68 |
Shu Zhang | 5 | 30 | 5.40 |
Hongchuan Yu | 6 | 116 | 12.72 |