Ensembling improves stability and power of feature selection for deep learning models.
Prashnna K. GyawaliXiaoxia LiuJames ZouZihuai HePublished in: CoRR (2022)
Keyphrases
- learning models
- feature selection
- feature selection algorithms
- classification models
- machine learning
- loss function
- semi supervised learning
- learning algorithm
- machine learning algorithms
- learning tasks
- learning paradigms
- feature set
- text categorization
- conditional random fields
- machine learning models
- learning problems
- text classification
- knn
- support vector
- generative model
- unsupervised learning
- evolutionary algorithm
- feature subset
- microarray
- genetic programming
- model selection
- data sets
- graphical models
- dimensionality reduction
- support vector machine
- classification accuracy
- prior knowledge
- feature space
- natural language
- data mining