BornFS: Feature Selection with Balanced Relevance and Nuisance and Its Application to Very Large Datasets.
Kilho ShinChris LiuKatsuyuki MaedaHiroaki OhshimaPublished in: ICAART (3) (2024)
Keyphrases
- feature selection
- feature selection algorithms
- mutual information
- microarray datasets
- benchmark datasets
- text categorization
- imbalanced data
- model selection
- text classification
- feature relevance
- support vector
- machine learning
- relevance feedback
- feature extraction
- uci machine learning repository
- data sets
- dimensionality reduction
- multi class
- information gain
- synthetic datasets
- feature weighting