General meta-learning paradigm based on prior-models, meta-model, meta-algorithm, and few-shot-base-model.
Eduardo Rivas-PosadaMario I. Chacon MurguiaPublished in: IJCNN (2021)
Keyphrases
- metamodel
- meta learning
- probabilistic model
- prior models
- prior information
- learning algorithm
- inductive learning
- em algorithm
- prior model
- prior knowledge
- bayesian networks
- black box
- bayesian framework
- database
- real world
- machine learning algorithms
- knowledge acquisition
- software systems
- parameter estimation
- expectation maximization
- maximum likelihood
- probability distribution
- data model
- relational databases
- similarity measure
- data mining
- databases