A Subspace Fusion of Hyper-parameter Optimization Method Based on Mean Regression.
Jianlong ZhangTianhong WangBin WangChen ChenPublished in: SmartIoT (2022)
Keyphrases
- optimization method
- hyperparameters
- model selection
- support vector
- cross validation
- optimization algorithm
- optimization process
- optimization methods
- genetic algorithm
- simulated annealing
- bayesian framework
- particle swarm
- parameter settings
- bayesian inference
- evolutionary algorithm
- differential evolution
- low dimensional
- optimization procedure
- em algorithm
- sample size
- prior information
- closed form
- high dimensional data
- dimensionality reduction
- noise level
- metaheuristic
- feature selection
- nelder mead simplex
- maximum likelihood
- maximum a posteriori
- principal component analysis
- prior knowledge
- high dimensional
- neural network
- missing values
- random sampling
- pairwise
- feature space
- machine learning
- gaussian mixture model
- multi objective
- incomplete data