Parametric Optimization of the Selected Classifiers in Binary Classification.
Daniel KostrzewaRobert BrzeskiPublished in: ACIIDS (Extended Posters) (2017)
Keyphrases
- binary classification
- support vector
- parametric optimization
- binary classifiers
- multi class
- learning problems
- cost sensitive
- fuzzy neural network
- support vector machine
- multi label
- information granulation
- training set
- prediction accuracy
- svm classifier
- generalization error
- learning tasks
- machine learning algorithms
- hyperplane
- ensemble methods
- learning algorithm
- decision trees
- training data
- class imbalance
- class labels
- kernel function
- cross validation
- feature selection
- unsupervised learning
- fuzzy sets
- classification accuracy
- kernel methods
- evolutionary algorithm
- classification algorithm
- policy gradient
- neural network