Feature selection for problem decomposition on high dimensional optimization.
Pedro RetaRicardo LandaPublished in: SIS (2014)
Keyphrases
- high dimensional
- feature selection
- high dimensionality
- dimensionality reduction
- parameter optimization
- global optimization
- microarray data
- low dimensional
- constrained optimization
- feature space
- optimization algorithm
- high dimensional data
- optimization process
- mutual information
- text classification
- high dimension
- small sample
- optimization method
- text categorization
- feature extraction
- optimization problems
- similarity search
- feature set
- dimension reduction
- feature selection algorithms
- gene expression data
- model selection
- parameter space
- sparse coding
- classification models
- information gain
- classification accuracy
- query processing
- support vector
- multiscale