Evolutionary Optimization of Hyperparameters in Deep Learning Models.
Jin-Young KimSung-Bae ChoPublished in: CEC (2019)
Keyphrases
- learning models
- evolutionary optimization
- hyperparameters
- model selection
- cross validation
- closed form
- multi objective
- support vector
- bayesian inference
- random sampling
- bayesian framework
- machine learning
- loss function
- prior information
- sample size
- em algorithm
- noise level
- genetic algorithm
- learning algorithm
- incremental learning
- maximum likelihood
- semi supervised learning
- learning tasks
- incomplete data
- maximum a posteriori
- machine learning algorithms
- conditional random fields
- classification models
- learning problems
- missing values
- kernel methods
- evolutionary algorithm
- expectation maximization
- feature selection
- training set
- probabilistic model
- supervised learning
- data sets
- unsupervised learning
- simulated annealing
- neural network