ASTERICS: Projection-based Classification of EEG with Asymmetric Loss Linear Regression and Genetic Algorithm.
Krisztian BuzaPublished in: SACI (2020)
Keyphrases
- linear regression
- regression problems
- genetic algorithm
- least squares
- kernel density estimators
- eeg signals
- regression method
- loss bounds
- support vector
- feature selection
- regression methods
- classification accuracy
- ridge regression
- support vector machine
- generalized linear models
- linear regression model
- pattern classification
- k nearest neighbour
- sleep stage
- linear models
- square loss
- machine learning
- decision trees
- feature vectors
- feature space
- regression trees
- extracted features
- density estimation
- genetic programming
- feature set
- nonlinear regression
- training data
- evolutionary algorithm
- artificial neural networks