Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning.
Francesco OrabonaPublished in: CoRR (2014)
Keyphrases
- model selection
- parameter free
- statistical learning
- bayesian learning
- cross validation
- meta learning
- parameter estimation
- error estimation
- unsupervised learning
- learning machines
- sample size
- learning algorithm
- hyperparameters
- reinforcement learning
- bayesian methods
- automatic model selection
- kernel machines
- learning problems
- categorical data
- incremental learning
- regression model
- learning tasks
- detection algorithm
- statistical inference
- mixture model
- supervised learning
- active learning
- feature selection