A Non-parametric Bayesian Approach for Uplift Discretization and Feature Selection.
Mina RaflaNicolas VoisineBruno CrémilleuxMarc BoulléPublished in: ECML/PKDD (5) (2022)
Keyphrases
- feature selection
- text categorization
- data preprocessing
- mutual information
- high dimensionality
- feature selection algorithms
- gaussian process
- feature set
- unsupervised learning
- support vector
- information gain
- support vector machine
- dimensionality reduction
- machine learning
- feature selection and classification
- classification models
- text classification
- feature extraction
- classification accuracy
- feature space
- method for feature selection
- irrelevant features
- feature ranking
- preprocessing
- preprocessing step
- multi class
- continuous variables
- feature subset
- kernel density estimation
- microarray data
- image registration
- numeric attributes
- discretization method
- data sets
- forward selection
- model selection