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...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , |
|---|---|
| Μορφή: | Άρθρο |
| Γλώσσα: | English |
| Έκδοση: |
Trường Đại học Đà Lạt
2014
|
| Θέματα: | |
| Διαθέσιμο Online: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/37523 |
| Ετικέτες: |
Προσθήκη ετικέτας
Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!
|
| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
|---|
καταχωρήστε σχόλιο πρώτοι!