Embedded feature selection using probabilistic model-based optimization.
Shota SaitoShinichi ShirakawaYouhei AkimotoPublished in: GECCO (Companion) (2018)
Keyphrases
- feature selection
- optimization algorithm
- bayesian networks
- embedded systems
- sparse pca
- parameter optimization
- constrained optimization
- high dimensionality
- text categorization
- optimization problems
- data driven
- support vector
- feature space
- optimization process
- optimization methods
- global optimization
- feature extraction
- multi class
- feature subset
- learning algorithm
- classification accuracy
- information gain
- probabilistic model
- optimization model
- selected features
- unsupervised learning
- irrelevant features
- mutual information