Interpretability of deep learning models for crop yield forecasting.
Dilli R. PaudelAllard de WitHendrik BoogaardDiego MarcosSjoukje A. OsingaIoannis N. AthanasiadisPublished in: Comput. Electron. Agric. (2023)
Keyphrases
- learning models
- machine learning
- loss function
- machine learning algorithms
- learning tasks
- learning algorithm
- semi supervised learning
- conditional random fields
- learning problems
- classification models
- learning paradigms
- machine learning models
- microarray
- sparse metric learning
- predictive model
- unsupervised learning
- e learning
- higher order
- evolutionary algorithm
- information retrieval