Quantum Optimization Approach for Feature Selection in Machine Learning.
Gérard FleuryBogdan VulpescuPhilippe LacommePublished in: MIC (1) (2024)
Keyphrases
- feature selection
- machine learning
- text classification
- text categorization
- model selection
- parameter optimization
- machine learning algorithms
- computer vision
- mutual information
- machine learning methods
- information gain
- optimization algorithm
- support vector machine
- optimization process
- feature engineering
- feature space
- global optimization
- supervised learning
- pattern recognition
- optimization problems
- reinforcement learning
- feature extraction
- feature construction
- neural network
- inductive logic programming
- optimization method
- explanation based learning
- unsupervised learning
- knowledge acquisition
- computational intelligence
- multi class
- computer science
- artificial intelligence
- genetic algorithm
- method for feature selection
- semi supervised learning
- data sets
- quantum mechanics
- unsupervised feature selection
- information retrieval
- knowledge discovery
- knn
- learning tasks
- differential evolution
- feature set