Randomized allocation with dimension reduction in a bandit problem with covariates.
Wei QianYuhong YangPublished in: FSKD (2012)
Keyphrases
- dimension reduction
- principal component analysis
- high dimensional data
- feature extraction
- high dimensional
- regression model
- data mining and machine learning
- high dimensional problems
- partial least squares
- low dimensional
- sample size
- logistic regression
- singular value decomposition
- unsupervised learning
- cluster analysis
- linear discriminant analysis
- variable selection
- random projections
- high dimensionality
- manifold learning
- random sampling
- dimensionality reduction
- discriminative information
- feature selection
- feature space
- high dimensional data analysis
- dimension reduction methods
- preprocessing
- decision trees