A comparative analysis of gradient boosting algorithms
Dados Bibliográficos
| ID | 23345465 |
|---|---|
| Autores | Candice Bentéjac (Université de Bordeaux), Anna Csörgő (Pázmány Péter Catholic University), Gonzalo Martínez-Muñoz (0000-0002-6125-6056, Universidad Autónoma de Madrid, autor correspondente) |
| Ano | 2021 |
| Volume | 54 |
| Fascículo | 3 |
| Páginas | 1937-1967 |
| Data de publicação | 2021-03-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Artificial Intelligence Review (JOURNAL) |
| Identificadores do periódico | ISSN: 0269-2821 • E-ISSN: 1573-7462 |
| Editora | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s10462-020-09896-5 |
| OpenAlex | W2987201163 |
| Idioma | EN |
| Citações recebidas | 74 |
| Referências citadas | 17 |
Boosting (machine learning) · Computation · Ensemble learning · Generalization · Gradient boosting · Random forest · Scalability · Face and Expression Recognition · Machine Learning and Data Classification · Stochastic Gradient Optimization Techniques
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| Obras citantes distintas | 74 |
|---|---|
| Citações por ano | 14,8 |
| Intervalo de citações | 2021 - 2026 (6) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 69 |