Comparison between the Canonical Correlation Analysis and the Support Vector Machines as classification algorithms in an SSVEP-based Brain-Computer Interface.
Jesiis Sagahon-AzuaBlanca Tovar-CoronaJesus A. Zuniga-ValladaresPublished in: CCE (2017)
Keyphrases
- support vector
- canonical correlation analysis
- classification accuracy
- cross validation
- brain computer interface
- machine learning
- feature selection
- learning algorithm
- pattern recognition
- support vector machine
- training set
- decision trees
- least squares
- feature set
- text classification
- dimension reduction
- canonical correlations
- kernel function
- support vector machine svm
- unsupervised learning
- supervised learning
- feature vectors