Parallel predictive entropy search for multi-objective Bayesian optimization with constraints applied to the tuning of machine learning algorithms.
Eduardo C. Garrido-MerchánDaniel Fernández-SánchezDaniel Hernández-LobatoPublished in: Expert Syst. Appl. (2023)
Keyphrases
- machine learning and data mining algorithms
- machine learning algorithms
- multi objective
- machine learning
- benchmark data sets
- decision trees
- optimization algorithm
- learning algorithm
- predictive accuracy
- machine learning methods
- learning problems
- constrained optimization
- evolutionary algorithm
- search algorithm
- machine learning models
- random forests
- fine tuning
- learning tasks
- multiple objectives
- multi objective optimization
- machine learning approaches
- conflicting objectives
- machine learning systems
- optimum design
- search space
- bayesian networks
- multi objective evolutionary algorithms
- optimization problems
- statistical machine learning
- input features
- data sets
- objective function
- learning models
- reinforcement learning
- data mining