GAdaBoost: Accelerating Adaboost Feature Selection with Genetic Algorithms.
Mai F. TolbaMohamed MoustafaPublished in: IJCCI (ECTA) (2016)
Keyphrases
- feature selection
- genetic algorithm
- multi class
- support vector
- text categorization
- feature set
- feature selection algorithms
- genetic programming
- mutual information
- multi objective
- text classification
- ensemble learning
- face detection
- parameter optimization
- neural network
- classification accuracy
- machine learning
- feature subset
- unsupervised learning
- unsupervised feature selection
- ensemble methods
- microarray data
- high dimensionality
- evolutionary computation
- artificial neural networks
- irrelevant features
- feature extraction
- naive bayes
- particle swarm optimization
- metaheuristic
- tabu search
- feature space
- dimensionality reduction
- fuzzy logic
- learning algorithm
- evolutionary algorithm
- decision stumps
- discriminative features
- method for feature selection
- feature weighting
- information gain
- genetic algorithm ga
- fitness function
- model selection
- support vector machine
- training data
- decision trees