Recommending Learning Algorithms and Their Associated Hyperparameters.
Michael R. SmithLogan MitchellChristophe G. Giraud-CarrierTony R. MartinezPublished in: MetaSel@ECAI (2014)
Keyphrases
- hyperparameters
- learning algorithm
- model selection
- cross validation
- closed form
- bayesian framework
- random sampling
- bayesian inference
- support vector
- prior information
- em algorithm
- sample size
- maximum likelihood
- gaussian process
- active learning
- gaussian processes
- machine learning
- incremental learning
- maximum a posteriori
- machine learning algorithms
- missing values
- noise level
- learning problems
- incomplete data
- supervised learning
- back propagation
- parameter settings
- meta learning
- prior knowledge
- computer vision
- learning process
- marginal likelihood
- parameter space
- learning tasks
- generalization ability
- grid search
- lower bound
- ensemble methods
- signal to noise ratio
- image processing
- markov random field
- edge detection
- pairwise