Quantization of Continuous Input Variables for Binary Classification.
Michal SkubaczJaakko HollménPublished in: IDEAL (2000)
Keyphrases
- binary classification
- input variables
- variable selection
- multi class
- artificial neural networks
- support vector
- learning problems
- cost sensitive
- support vector machine
- multi label
- neural network model
- generalization error
- membership functions
- prediction accuracy
- class imbalance
- fuzzy rules
- cross validation
- learning tasks
- ls svm
- high dimensional
- ensemble methods
- supervised learning
- text categorization
- data sets
- active learning
- object recognition
- reinforcement learning
- bayesian networks
- training data
- image processing
- feature selection
- computer vision
- learning algorithm
- genetic algorithm
- machine learning