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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Detalhes bibliográficos
Principais autores: Do, Thanh Nghi, Pham, Nguyen Khang
Formato: Atigo
Idioma:English
Publicado em: Trường Đại học Đà Lạt 2014
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Acesso em linha:https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/37523
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Thư viện lưu trữ: Thư viện Trường Đại học Đà Lạt