Genetic Algorithms as a Tool for Feature Selection in Machine Learning.
Haleh VafaieKenneth A. De JongPublished in: ICTAI (1992)
Keyphrases
- machine learning
- feature selection
- genetic algorithm
- text classification
- neural network
- mutual information
- support vector machine
- unsupervised learning
- decision trees
- model selection
- parameter optimization
- evolutionary computation
- machine learning methods
- fitness function
- feature selection algorithms
- particle swarm optimization
- knowledge acquisition
- simulated annealing
- feature engineering
- data mining
- learning algorithm
- computer vision
- classification accuracy
- computer science
- active learning
- artificial neural networks
- semi supervised learning
- inductive learning
- learning tasks
- pattern recognition
- text categorization
- multi objective
- computational intelligence
- evolutionary algorithm
- text mining
- information extraction
- unsupervised feature selection
- genetic search
- artificial intelligence
- fuzzy logic
- multi task
- supervised learning
- high dimensionality
- training data
- machine learning algorithms
- genetic programming
- knowledge discovery
- feature space
- high dimensional