Assessing Parallel Heterogeneous Computer Architectures for Multiobjective Feature Selection on EEG Classification.
Juan José EscobarJulio OrtegaJesús GonzálezMiguel DamasPublished in: IWBBIO (2016)
Keyphrases
- computer architecture
- feature selection
- multi objective
- classification accuracy
- computer systems
- ibm sp
- machine learning
- feature extraction
- parallel computing
- feature set
- parallel computers
- eeg signals
- multi threaded
- feature space
- compute intensive
- evolutionary algorithm
- eeg data
- artificial intelligence
- multiobjective optimization
- parallel processing
- high performance computing
- feature subset
- brain computer interface
- shared memory
- fine grained
- feature vectors
- instruction set
- computer science
- genetic algorithm