Parallel algorithms of random forests for classifying very large datasets
The random forests algorithm proposed by Breiman is an ensemble-based approach with very high accuracy. The learning and classification tasks of a set of decision trees take a lot of time, make it intractable when dealing with ve ry large datasets. There is a need to scale up the random forests a...
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| Päätekijät: | , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | English |
| Julkaistu: |
Trường Đại học Đà Lạt
2014
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| Aiheet: | |
| Linkit: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/37523 |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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