Meta-Learning PAC-Bayes Priors in Model Averaging.
Yimin HuangWeiran HuangLiang LiZhenguo LiPublished in: CoRR (2019)
Keyphrases
- meta learning
- model averaging
- model selection
- learning tasks
- inductive learning
- bayesian methods
- posterior distribution
- bayesian framework
- supervised classification
- machine learning algorithms
- data mining
- machine learning
- hyperparameters
- decision trees
- parameter estimation
- feature selection
- base classifiers
- supervised learning
- prior knowledge
- kernel methods
- cross validation
- learning problems
- prediction accuracy
- text classification