Efficient First-Order Algorithms for Large-Scale, Non-Smooth Maximum Entropy Models with Application to Wildfire Science
Maximum entropy (MaxEnt) models are a class of statistical models that use the maximum entropy principle to estimate probability distributions from data. Due to the size of modern data sets, MaxEnt models need efficient optimization algorithms to scale well for big data applications. State-of-the-ar...
Na minha lista:
| Principais autores: | , , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2024-08-01
|
| coleção: | Entropy |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/1099-4300/26/8/691 |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|