Ensembling improves stability and power of feature selection for deep learning models.
Prashnna K. GyawaliXiaoxia LiuJames ZouZihuai HePublished in: MLCB (2022)
Keyphrases
- learning models
- feature selection
- feature selection algorithms
- classification models
- machine learning
- loss function
- learning algorithm
- learning tasks
- semi supervised learning
- machine learning algorithms
- text categorization
- learning problems
- feature set
- learning paradigms
- conditional random fields
- support vector
- support vector machine
- dimensionality reduction
- text classification
- feature subset
- feature extraction
- machine learning models
- unsupervised learning
- classification accuracy
- dimension reduction
- evolutionary algorithm