Classifier Subset Selection to construct multi-classifiers by means of estimation of distribution algorithms.
Iñigo MendialduaAndoni ArrutiEkaitz JauregiElena LazkanoBasilio SierraPublished in: Neurocomputing (2015)
Keyphrases
- subset selection
- feature selection
- estimation of distribution algorithms
- feature subset selection
- bayesian classifiers
- training data
- feature subset
- feature set
- support vector
- svm classifier
- class labels
- training set
- bayesian classifier
- classification algorithm
- decision trees
- classification rate
- classification method
- evolutionary computation
- training samples
- hill climbing
- combinatorial optimization
- naive bayes
- particle swarm optimization algorithm
- feature selection algorithms
- extracted features
- feature space
- supervised classification
- evolutionary algorithm
- classification accuracy
- image classification
- support vector machine
- multi objective
- multi objective optimization
- simulated annealing
- genetic algorithm
- recognition rate
- combinatorial optimization problems
- learning algorithm
- cross validation
- convergence speed
- neural network
- particle swarm optimization
- genetic programming
- continuous domains
- machine learning