Employing Iterative Feature Selection in Fuzzy Rule-Based Binary Classification.
Haoning LiCong WangQinghua HuangPublished in: CoRR (2024)
Keyphrases
- binary classification
- feature selection
- multi class
- support vector
- support vector machine
- learning problems
- multi label
- cost sensitive
- class imbalance
- text categorization
- binary classification problems
- multi class classification
- binary classifiers
- prediction accuracy
- machine learning
- generalization error
- classification accuracy
- ensemble methods
- text classification
- k nearest neighbor
- multi task
- prior knowledge
- feature subset
- cross validation
- svm classifier
- machine learning algorithms
- kernel function
- naive bayes
- graph cuts
- markov random field
- feature extraction
- training data
- data sets
- feature space
- training set
- test data
- feature set
- loss function