Enhanced Metaheuristic Based Hyper-Parameters Tuning for Learning Models.
Jagandeep SinghJasminder Kaur SandhuYogesh KumarPublished in: IC3I (2023)
Keyphrases
- metaheuristic
- learning models
- hyperparameters
- model selection
- cross validation
- closed form
- parameter settings
- support vector
- bayesian inference
- bayesian framework
- loss function
- random sampling
- simulated annealing
- machine learning
- em algorithm
- optimization problems
- prior information
- genetic algorithm
- search space
- optimal solution
- learning algorithm
- maximum a posteriori
- learning tasks
- maximum likelihood
- semi supervised learning
- machine learning algorithms
- sample size
- classification models
- conditional random fields
- incomplete data
- particle swarm optimization
- learning problems
- optimization method
- parameter values
- pairwise
- missing values
- evolutionary algorithm
- prior knowledge
- feature selection