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