Feature Gradients: Scalable Feature Selection via Discrete Relaxation.
Rishit ShethNicoló FusiPublished in: CoRR (2019)
Keyphrases
- feature selection
- feature set
- redundant features
- irrelevant features
- feature subset
- discriminative features
- selecting features
- preprocessing step
- feature relevance
- input features
- text categorization
- feature selection algorithms
- supervised feature selection
- feature weighting
- selected features
- information gain
- high dimensionality
- image features
- unsupervised learning
- discriminatory power
- feature weights
- single feature
- lower bound
- classification accuracy
- selection criterion
- dimensionality reduction
- text classification
- highly scalable
- feature ranking
- individual features
- feature space
- machine learning
- support vector
- probabilistic relaxation
- objective function
- pointwise mutual information
- learning algorithm