Motor imagery classification based on joint regression model and spectral power.
Sanqing HuQiangqiang TianYu CaoJianhai ZhangWanzeng KongPublished in: Neural Comput. Appl. (2013)
Keyphrases
- regression model
- motor imagery
- model selection
- target variable
- eeg signals
- logistic regression models
- pattern recognition
- brain computer interface
- response variable
- prediction model
- regression method
- regression analysis
- gaussian process
- multivariate regression
- support vector machine
- machine learning
- kernel regression
- decision rules
- image classification
- generalized linear models
- regression methods
- text classification
- linear model
- classification accuracy
- feature vectors
- multiple linear regression
- explanatory variables
- feature extraction
- decision trees
- neural network
- support vector
- eeg data
- semi parametric
- feature space
- support vector regression