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...
Bewaard in:
| Hoofdauteurs: | , |
|---|---|
| Formaat: | Artikel |
| Taal: | English |
| Gepubliceerd in: |
Trường Đại học Đà Lạt
2014
|
| Onderwerpen: | |
| Online toegang: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/37523 |
| Tags: |
Voeg label toe
Geen labels, Wees de eerste die dit record labelt!
|
| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
|---|
Wees de eerste die reageert!