Effect of the Sampling of a Dataset in the Hyperparameter Optimization Phase over the Efficiency of a Machine Learning Algorithm.
Noemí DeCastro-GarcíaÁngel Luis Muñoz CastañedaDavid Escudero GarcíaMiguel V. CarriegosPublished in: Complex. (2019)
Keyphrases
- optimization algorithm
- optimization process
- benchmark datasets
- global optimization
- combinatorial optimization
- high efficiency
- random sampling
- model selection
- optimization method
- optimization problems
- data sets
- sample size
- constrained optimization
- optimization methods
- maximum a posteriori
- feature set
- active learning
- machine learning
- neural network