Hyper-parameter optimization in classification: To-do or not-to-do.
Ngoc TranJean-Guy SchneiderIngo WeberA. Kai QinPublished in: Pattern Recognit. (2020)
Keyphrases
- hyperparameters
- model selection
- support vector
- cross validation
- machine learning
- feature extraction
- supervised learning
- decision trees
- parameter settings
- bayesian framework
- support vector machine svm
- nearest neighbor
- generalization ability
- incremental learning
- support vector machine
- training set
- feature space
- image segmentation
- feature selection
- learning algorithm