Multi-Objective Lagged Feature Selection Based on Dependence Coefficient for Time-Series Forecasting.
Maria Lourdes Linares-BarreraManuel Jesús Jiménez-NavarroJosé C. RiquelmeMaría Martínez-BallesterosPublished in: CAEPIA (2024)
Keyphrases
- multi objective
- feature selection
- evolutionary algorithm
- multi objective optimization
- optimization algorithm
- pointwise mutual information
- multiobjective optimization
- conflicting objectives
- text categorization
- mutual information
- objective function
- artificial neural networks
- genetic algorithm
- nsga ii
- feature set
- particle swarm optimization
- support vector
- pareto optimal
- classification accuracy
- multi objective optimization problems
- evolutionary optimization
- machine learning
- multiple objectives
- hilbert schmidt independence criterion
- multi objective evolutionary
- multi class
- feature extraction
- information gain
- feature selection algorithms
- selected features
- discriminative features
- high dimensionality
- unsupervised learning
- text classification
- unsupervised feature selection
- optimum design
- neural network
- multiagent evolutionary algorithm
- feature weighting
- gene expression data
- differential evolution
- irrelevant features
- classification models
- neuro fuzzy
- feature subset
- naive bayes
- multi objective genetic algorithms
- trade off
- training data
- decision making