Quadratic programming feature selection for multicorrelated signal decoding with partial least squares.
R. V. IsachenkoVadim V. StrijovPublished in: Expert Syst. Appl. (2022)
Keyphrases
- quadratic programming
- partial least squares
- ls svm
- feature selection
- dimension reduction
- support vector machine
- least squares
- linear programming
- variable selection
- support vector
- discriminant analysis
- cross validation
- feature space
- model selection
- feature extraction
- input variables
- principal component analysis
- hyperparameters
- neural network
- radial basis function
- feature set
- machine learning
- high dimensionality
- unsupervised learning
- dimensionality reduction
- correlation coefficient
- feature subset
- rbf neural network
- factor analysis
- fuzzy logic
- high dimensional
- data sets