Trestle Random Forest Based on Multiple Randomness and Privacy Protection
As an effective ensemble learning algorithm for classification and regression tasks， the random forest （RF） also faces challenges in improving generalization ability and privacy protection. In response to this challenge， this paper proposes an improved Bernoulli‑multinomial stacked random forest （BM...
Na minha lista:
| Principais autores: | , |
|---|---|
| Formato: | Artigo |
| Idioma: | Chinês |
| Publicado em: |
Editorial Office of Journal of Data Acquisition and Processing
2025-09-01
|
| coleção: | Shuju Caiji Yu Chuli |
| Assuntos: | |
| Acesso em linha: | https://sjcj.nuaa.edu.cn/sjcjycl/article/abstract/202505009 |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|