Machine-learning model led design to experimentally test species thermal limits: the case of kissing bugs (Triatominae)
Species Distribution Modelling (SDM) determines habitat suitability of a species across geographic areas using macro-climatic variables; however, micro-habitats can buffer or exacerbate the influence of macro-climatic variables, requiring links between physiology and species persistence. Experimenta...
Guardado en:
| Autores principales: | Rabinovich, Jorge Eduardo, Alvarez Costa, Agustín, Muñoz, Ignacio, Schilman, Pablo E., Fountain Jones, Nicholas |
|---|---|
| Formato: | Articulo Preprint |
| Lenguaje: | Inglés |
| Publicado: |
2020
|
| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/124630 |
| Aporte de: |
Ejemplares similares
-
Machine-learning model led design to experimentally test species thermal limits: The case of kissing bugs (Triatominae)
por: Rabinovich, Jorge Eduardo, et al.
Publicado: (2021) -
Machine Learning /
por: Mitchell, Tom M. (Tom Michael), 1951-
Publicado: (1997) -
Genetic algorithms in search, optimization, and machine learning /
por: Goldberg, David E. (David Edward), 1953-
Publicado: (1989) -
Genetic algorithms in search, optimization, and machine learning /
por: Goldberg, David E. (David Edward), 1953-
Publicado: (1989) -
Support Vector Machine y uso del método perceptrón para problemas linealmente separables: aplicación en métodos de clasificación, usando validación cruzada
por: Borda-Casallas, Ximena A., et al.
Publicado: (2020)