Keyphrases
- continuous optimization
- hyperparameters
- model selection
- cross validation
- closed form
- support vector
- random sampling
- bayesian inference
- bayesian framework
- prior information
- gaussian process
- gaussian processes
- optimization methods
- maximum likelihood
- em algorithm
- sample size
- linear models
- maximum a posteriori
- incremental learning
- noise level
- simulated annealing
- incomplete data
- optimization strategy
- metaheuristic
- missing values
- parameter space
- prior knowledge
- feature selection
- genetic algorithm
- machine learning
- parameter settings
- expectation maximization
- regression model
- variable selection
- computer vision
- neural network