Feature Selection in Machine Learning by Hybrid Sine Cosine Metaheuristics.
Nebojsa BacaninAleksandar PetrovicMiodrag ZivkovicTimea BezdanMilos AntonijevicPublished in: ICACDS (1) (2021)
Keyphrases
- feature selection
- machine learning
- text classification
- model selection
- support vector machine
- machine learning methods
- machine learning algorithms
- text categorization
- pattern recognition
- feature vectors
- tabu search
- feature engineering
- multi class
- basis functions
- mutual information
- feature set
- text mining
- learning algorithm
- feature space
- information extraction
- feature construction
- neural network
- knowledge discovery
- metaheuristic
- data mining
- grasp with path relinking
- transfer learning
- combinatorial optimization
- inductive logic programming
- multi task
- feature selection algorithms
- selected features
- decision trees
- simulated annealing
- computational intelligence
- supervised learning
- classification accuracy
- classification models
- artificial intelligence
- irrelevant features
- optimal solution
- data analysis
- explanation based learning
- search space
- evolutionary algorithm
- information gain
- knowledge acquisition
- feature subset
- learning tasks
- dimensionality reduction
- euclidean distance
- optimization problems