Genetic algorithm with aggressive mutation for feature selection in BCI feature space.
Izabela RejerPublished in: Pattern Anal. Appl. (2015)
Keyphrases
- genetic algorithm
- feature space
- feature selection
- brain computer interface
- fitness function
- evolutionary algorithm
- high dimensionality
- feature set
- population size
- mutation operator
- classification accuracy
- genetic algorithm ga
- feature vectors
- feature subset
- kernel function
- feature extraction
- neural network
- dimensionality reduction
- dimension reduction
- motor imagery
- support vector machine
- genetic operators
- simulated annealing
- signal processing
- text classification
- differential evolution
- multi objective
- input space
- high dimension
- crossover operator
- principal component analysis
- mean shift
- artificial neural networks
- high dimensional
- crossover and mutation
- data points
- metaheuristic
- parameter optimization
- machine learning
- text categorization
- image representation
- mutual information
- kernel methods
- brain wave
- brain signals
- genetic programming
- low dimensional
- knn
- class separability
- evolutionary process
- image retrieval
- spinal cord injury
- mutation rate
- image processing
- face recognition
- high dimensional feature space
- support vector
- pattern recognition
- search capabilities
- feature selection algorithms
- multi task
- particle swarm optimization
- human computer interaction
- optimization method