Beyond Manual Tuning of Hyperparameters.
Frank HutterJörg LückeLars Schmidt-ThiemePublished in: Künstliche Intell. (2015)
Keyphrases
- hyperparameters
- model selection
- cross validation
- closed form
- bayesian inference
- random sampling
- support vector
- bayesian framework
- em algorithm
- gaussian process
- maximum a posteriori
- prior information
- noise level
- sample size
- maximum likelihood
- gaussian processes
- incremental learning
- incomplete data
- regularization parameter
- parameter settings
- parameter space
- markov random field
- grid search
- missing values
- missing data
- generative model
- decision trees
- state space
- active learning
- prior knowledge
- computer vision
- machine learning