A Linear Programming Enhanced Genetic Algorithm for Hyperparameter Tuning in Machine Learning.
Ankur SinhaParitosh PankajPublished in: CEC (2023)
Keyphrases
- linear programming
- machine learning
- genetic algorithm
- model selection
- linear program
- parameter settings
- dynamic programming
- fitness function
- genetic algorithm ga
- neural network
- supervised learning
- gaussian processes
- knowledge representation
- evolutionary algorithm
- machine learning approaches
- pattern recognition
- optimal solution
- objective function
- explanation based learning
- decision trees
- multi objective
- data mining
- computational intelligence
- machine learning algorithms
- artificial intelligence
- knowledge acquisition
- nonlinear programming
- machine learning methods
- quadratic programming
- inductive learning
- hyperparameters
- learning classifier systems
- genetic programming
- learning algorithm
- feature selection
- reinforcement learning
- simulated annealing
- data analysis
- metaheuristic
- support vector machine
- constraint propagation
- power system stabilizer
- evolutionary computing
- parameter optimization
- search space
- gaussian process
- natural language processing
- text mining
- inductive logic programming
- learning tasks
- kernel methods
- statistical methods
- text classification
- learning systems