The Advantage of Conditional Meta-Learning for Biased Regularization and Fine-Tuning.
Giulia DeneviMassimiliano PontilCarlo CilibertoPublished in: CoRR (2020)
Keyphrases
- meta learning
- fine tuning
- meta knowledge
- learning tasks
- inductive learning
- model selection
- machine learning algorithms
- decision trees
- feature selection
- machine learning
- data mining
- data sets
- fine tuned
- learning algorithm
- support vector
- data model
- knowledge acquisition
- kernel methods
- metamodel
- base classifiers
- real world