Statistical Comparison of Classifiers for Multi-objective Feature Selection in Instrument Recognition.
Igor VatolkinBernd BischlGünter RudolphClaus WeihsPublished in: GfKl (2012)
Keyphrases
- feature selection
- multi objective
- support vector
- feature set
- recognition rate
- feature extraction
- multi objective optimization
- statistical analysis
- recognition accuracy
- feature selection algorithms
- naive bayes
- object recognition
- evolutionary algorithm
- optimization algorithm
- feature subset
- classification models
- text categorization
- classification rate
- recognition algorithm
- small sample
- particle swarm optimization
- improve recognition accuracy
- feature ranking
- irrelevant features
- feature reduction
- conflicting objectives
- feature selection and classifier
- genetic algorithm
- training data
- pattern recognition
- class labels
- machine learning
- text classification
- mutual information
- classification accuracy
- decision trees
- feature space
- training set
- classification performances
- linear discriminant
- objective function
- ensemble classifier
- unsupervised learning
- nsga ii
- ensemble learning
- information gain
- dimensionality reduction
- bayes classifier
- statistical tests
- multi objective optimization problems
- model selection
- differential evolution
- svm classifier
- data sets