Optimization of Machine Learning Algorithms Hyper-Parameters for Improving the Prediction of Patients Infected with COVID-19.
Soufiane HamidaOussama El GannourBouchaib CherradiHassan OuajjiAbdelhadi RaihaniPublished in: ICECOCS (2020)
Keyphrases
- machine learning algorithms
- hyperparameters
- parameter optimization
- benchmark data sets
- model selection
- machine learning
- learning algorithm
- machine learning methods
- decision trees
- cross validation
- learning problems
- closed form
- random sampling
- prediction accuracy
- noise level
- bayesian framework
- bayesian inference
- support vector
- standard machine learning algorithms
- machine learning approaches
- maximum a posteriori
- em algorithm
- sample size
- prediction model
- parameter settings
- maximum likelihood
- prior information
- genetic algorithm ga
- statistical machine learning
- support vector machine
- reinforcement learning
- image processing
- machine learning models