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...
保存先:
| 主要な著者: | , |
|---|---|
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Trường Đại học Đà Lạt
2014
|
| 主題: | |
| オンライン･アクセス: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/37523 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
|---|
このレコードへの初めてのコメントを付けませんか!