Feature Selection Based on the Discriminative Significance for Sparse Binary-Valued and Imbalanced Dataset.
Qiuming ZhuPublished in: Int. J. Pattern Recognit. Artif. Intell. (2023)
Keyphrases
- feature selection
- binary valued
- imbalanced datasets
- feature selection algorithms
- imbalanced data
- text classification
- class imbalance
- markov networks
- feature extraction
- unsupervised learning
- support vector
- high dimensional
- support vector machine
- text categorization
- feature space
- class distribution
- feature set
- decision trees
- graphical models
- dimensionality reduction
- multi class
- boolean expressions
- sampling methods
- cost sensitive learning
- model selection
- naive bayes
- maximum likelihood
- semi supervised
- feature subset
- ensemble methods
- high dimensionality
- classification accuracy
- training data
- machine learning
- k nearest neighbor
- image classification
- upper bound