Progressive Sampling-Based Bayesian Optimization for Efficient and Automatic Machine Learning Model Selection.
Xueqiang ZengGang LuoPublished in: CoRR (2018)
Keyphrases
- model selection
- machine learning
- bayesian learning
- cross validation
- statistical inference
- covariate shift
- marginal likelihood
- hyperparameters
- statistical learning
- bayesian model selection
- bayesian methods
- parameter estimation
- regression model
- bayesian approaches
- meta learning
- error estimation
- sample size
- learning machines
- feature selection
- variable selection
- gaussian process
- model selection criteria
- selection criterion
- leave one out cross validation
- mixture model
- unsupervised learning
- learning algorithm
- gaussian processes
- generalization error
- machine learning methods
- maximum likelihood
- supervised learning
- kernel machines
- generalization bounds
- posterior distribution
- information criterion
- learning problems
- text classification
- parameter determination