Beyond Bayes-optimality: meta-learning what you know you don't know.
Jordi Grau-MoyaGrégoire DelétangMarkus KuneschTim GeneweinElliot CattKevin LiAnian RuossChris CundyJoel VenessJane X. WangMarcus HutterChristopher SummerfieldShane LeggPedro A. OrtegaPublished in: CoRR (2022)
Keyphrases
- meta learning
- decision trees
- learning tasks
- inductive learning
- meta knowledge
- model selection
- machine learning algorithms
- base classifiers
- metamodel
- data mining
- feature selection
- multi class
- database
- support vector machine
- machine learning
- knowledge acquisition
- supervised learning
- expert systems
- knowledge base
- databases
- data sets