Attentional meta-learners are polythetic classifiers.
Ben DayRamón ViñasNikola SimidjievskiPietro LiòPublished in: CoRR (2021)
Keyphrases
- learning environment
- e learning
- learning experience
- learning activities
- training examples
- learning outcomes
- training set
- decision trees
- training data
- support vector
- learning process
- test set
- social learning
- learning resources
- supervised classification
- meta level
- machine learning methods
- learning processes
- collaborative learning
- ensemble learning
- classification models
- learning community
- language learning
- classification systems
- feature selection
- ensemble classifier
- naive bayes
- online learning
- base learners
- classifier combination
- individual classifiers
- weak classifiers
- machine learning
- multiple classifiers
- linear classifiers
- meta learning
- classification rate
- roc curve
- visual attention
- classification method
- svm classifier
- learning strategies
- face detection
- semi supervised
- classification accuracy