Meta-Learning PAC-Bayes Priors in Model Averaging.
Yimin HuangWeiran HuangLiang LiZhenguo LiPublished in: AAAI (2020)
Keyphrases
- meta learning
- model averaging
- learning tasks
- inductive learning
- posterior distribution
- bayesian framework
- model selection
- bayesian methods
- machine learning algorithms
- supervised classification
- decision trees
- machine learning
- prior knowledge
- maximum a posteriori
- prior information
- base classifiers
- feature selection
- feature space
- latent variables
- data sets
- hyperparameters
- parameter estimation
- knn
- probability distribution