Adiabatic Quantum Feature Selection for Sparse Linear Regression.
Surya Sai Teja DesuP. K. SrijithM. V. Panduranga RaoNaveen SivadasanPublished in: ICCS (6) (2021)
Keyphrases
- linear regression
- feature selection
- sparse regression
- generalized linear models
- least squares
- sparse pca
- regression problems
- regression methods
- linear regression model
- feature selection and classification
- ridge regression
- locally weighted
- mutual information
- machine learning
- feature space
- text classification
- text categorization
- information gain
- nonlinear regression
- kernel regression
- linear models
- regression method
- feature subset
- regression model
- dimensionality reduction
- feature extraction
- high dimensional
- support vector
- model selection
- feature set
- ensemble learning
- training set
- multi class
- knn
- training data