Unlearning Nonlinear Graph Classifiers in the Limited Training Data Regime.
Chao PanEli ChienOlgica MilenkovicPublished in: CoRR (2022)
Keyphrases
- training data
- training set
- decision trees
- training instances
- test set
- training examples
- naive bayes
- classification models
- data sets
- test data
- labeled training data
- class labels
- supervised learning
- learning algorithm
- training samples
- unseen data
- graph theory
- classification accuracy
- directed graph
- weighted graph
- semi supervised learning
- labeled data
- support vector machine
- training dataset
- prior knowledge
- class distribution
- unlabeled data
- graph representation
- target domain
- ensemble learning
- graph structure
- training process
- graph model
- svm classifier
- data points
- text classification
- feature values
- classification trees
- data samples
- high dimensional
- support vector
- random walk
- sufficient training data