An efficient hyper-parameter optimization method for supervised learning.
Ying ShiHui QiXiaobo QiXiaofang MuPublished in: Appl. Soft Comput. (2022)
Keyphrases
- optimization method
- supervised learning
- hyperparameters
- optimization algorithm
- optimization process
- optimization methods
- simulated annealing
- particle swarm
- genetic algorithm
- evolutionary algorithm
- differential evolution
- model selection
- optimization procedure
- nonlinear optimization
- parameter settings
- random sampling
- cross validation
- incremental learning
- metaheuristic
- nelder mead simplex
- reinforcement learning
- learning algorithm
- training data
- active learning
- unsupervised learning
- bayesian inference
- training set
- neural network
- support vector
- feature vectors
- objective function
- probabilistic model
- prior information
- maximum a posteriori
- semi supervised
- maximum likelihood
- em algorithm