A Power-Performance Perspective to Multiobjective Electroencephalogram Feature Selection on Heterogeneous Parallel Platforms.
Juan José EscobarJulio OrtegaAntonio Francisco DíazJesús GonzálezMiguel DamasPublished in: J. Comput. Biol. (2018)
Keyphrases
- feature selection algorithms
- multi objective
- feature selection
- evolutionary algorithm
- data sets
- optimization algorithm
- multiobjective optimization
- multi objective optimization
- feature subset
- feature set
- objective function
- classification accuracy
- text classification
- particle swarm optimization
- genetic algorithm
- nsga ii
- parallel processing
- multiple objectives
- shared memory
- feature extraction
- multiobjective genetic algorithm
- support vector
- parallel execution
- parallel implementation
- pareto optimal
- bi objective
- trade off
- heterogeneous systems
- dimensionality reduction
- feature space
- healthy subjects
- multiobjective evolutionary algorithms
- pareto optimal solutions
- evolutionary multiobjective
- min max
- eeg signals
- information gain
- text categorization
- cloud computing
- optimization problems
- support vector machine
- machine learning