Hyper-Parameter Optimization Using MARS Surrogate for Machine-Learning Algorithms.
Yangyang LiGuangyuan LiuGao LuLicheng JiaoNaresh MarturiRonghua ShangPublished in: IEEE Trans. Emerg. Top. Comput. Intell. (2020)
Keyphrases
- machine learning algorithms
- benchmark data sets
- hyperparameters
- learning algorithm
- machine learning methods
- machine learning
- predictive accuracy
- learning problems
- decision trees
- random forests
- model selection
- learning tasks
- machine learning models
- random sampling
- machine learning systems
- closed form
- parameter settings
- machine learning approaches
- data sets
- noise level
- maximum a posteriori
- cross validation
- active learning
- pairwise
- support vector
- image processing
- statistical machine learning
- standard machine learning algorithms
- machine learning and data mining algorithms