Efficient Hyperparameters optimization Through Model-based Reinforcement Learning and Meta-Learning.
XiYuan LiuJia WuSenpeng ChenPublished in: HPCC/DSS/SmartCity (2020)
Keyphrases
- meta learning
- model selection
- hyperparameters
- grid search
- inductive learning
- machine learning algorithms
- cross validation
- learning tasks
- model based reinforcement learning
- support vector
- decision trees
- sample size
- data mining
- maximum a posteriori
- bayesian inference
- incomplete data
- gaussian processes
- closed form
- feature selection