Explaining deep learning models for ozone pollution prediction via embedded feature selection.
M. J. Jiménez-NavarroMaría Martínez-BallesterosFrancisco Martínez-ÁlvarezGualberto Asencio-CortésPublished in: Appl. Soft Comput. (2024)
Keyphrases
- learning models
- feature selection
- feature selection algorithms
- machine learning
- classification models
- loss function
- air pollution
- learning tasks
- air quality
- learning problems
- semi supervised learning
- text categorization
- machine learning algorithms
- learning algorithm
- prediction model
- conditional random fields
- solar radiation
- machine learning models
- sparse metric learning
- data sets
- feature set
- classification accuracy
- pairwise
- support vector
- image processing
- information retrieval
- unsupervised learning
- dimension reduction
- model selection
- text classification
- support vector machine
- evolutionary algorithm
- feature space
- object recognition
- data mining