Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning.
Vladan StojnicZakaria LaskarGiorgos ToliasPublished in: CoRR (2023)
Keyphrases
- semi supervised
- active learning
- supervised learning
- training set
- training examples
- fully labeled
- training process
- batch mode
- labeled data
- semi supervised learning
- unlabeled data
- annotation effort
- robust regression
- unsupervised learning
- outlier detection
- random sample consensus
- selective sampling
- multi view
- pool based active learning
- decision trees
- supervised methods
- pairwise
- semi supervised classification
- labeled examples
- random sampling
- ensemble learning
- robust estimation
- sample selection
- machine learning
- pairwise constraints
- learning algorithm
- ensemble methods
- affine transformation
- neural network
- co training
- similarity measure
- training data
- training samples
- learning strategies
- labeled and unlabeled data
- metric learning
- generalization error
- multiple instance learning
- constrained clustering
- semi supervised clustering
- incremental learning
- back propagation
- text classification
- active learning strategies
- learning machines