GAdaBoost: Accelerating Adaboost Feature Selection with Genetic Algorithms.
Mai F. TolbaMohamed MoustafaPublished in: CoRR (2016)
Keyphrases
- feature selection
- genetic algorithm
- multi class
- support vector
- text categorization
- classification accuracy
- face detection
- feature set
- feature space
- feature selection algorithms
- information gain
- machine learning
- neural network
- artificial neural networks
- feature extraction
- simulated annealing
- classification models
- selected features
- multi class classification
- ensemble learning
- evolutionary computation
- text classification
- dimensionality reduction
- fuzzy logic
- multi objective
- irrelevant features
- genetic programming
- adaboost algorithm
- high dimensionality
- multi task
- unsupervised feature selection
- population size
- feature weighting
- method for feature selection
- metaheuristic
- feature subset
- optimization method
- mutual information
- weak classifiers
- tabu search
- data sets
- unsupervised learning
- redundant features
- decision stumps
- stochastic search algorithms