Optimizing Feature Selection for Binary Classification with Noisy Labels: A Genetic Algorithm Approach.
Vandad ImaniElaheh MoradiCarlos Sevilla-SalcedoVittorio FortinoJussi TohkaPublished in: ACR (2024)
Keyphrases
- binary classification
- multi label
- feature selection
- genetic algorithm
- text categorization
- multi class
- support vector
- multi label classification
- support vector machine
- text classification
- class imbalance
- multi class classification
- binary classification problems
- cost sensitive
- generalization error
- learning problems
- training examples
- pairwise
- ensemble methods
- binary classifiers
- genetic algorithm ga
- feature extraction
- neural network
- feature space
- feature subset
- training data
- learning tasks
- fitness function
- graph cuts
- high dimensionality
- class labels
- multiclass problems
- evolutionary algorithm
- model selection
- training set
- image classification
- naive bayes
- optimization method
- unsupervised learning
- simulated annealing
- knn
- classification accuracy
- machine learning
- kernel methods
- class distribution
- cross validation
- dimensionality reduction