Grid Search for Predicting Coronary Heart Disease by Tuning Hyper-Parameters.
S. PrabuB. ThiyaneswaranM. SujathaC. NaliniSujatha RajkumarPublished in: Comput. Syst. Sci. Eng. (2022)
Keyphrases
- hyperparameters
- grid search
- coronary heart disease
- model selection
- cross validation
- bayesian inference
- closed form
- parameter settings
- random sampling
- bayesian framework
- support vector
- gaussian process
- prior information
- em algorithm
- noise level
- sample size
- clinical practice
- maximum likelihood
- maximum a posteriori
- incremental learning
- incomplete data
- parameter optimization
- generalization ability
- random search
- missing values
- support vector machine
- machine learning
- parameter space
- random forest
- meta learning
- learning algorithm
- support vector regression
- prior knowledge
- upper bound
- feature set
- parameter values
- noisy images
- markov random field
- generative model
- expectation maximization