Semi-Supervised Learning, Causality and the Conditional Cluster Assumption.
Julius von KügelgenMarco LoogAlexander MeyBernhard SchölkopfPublished in: CoRR (2019)
Keyphrases
- semi supervised learning
- semi supervised
- labeled data
- unlabeled data
- machine learning
- supervised learning
- semi supervised clustering
- unsupervised learning
- clustering algorithm
- manifold regularization
- co training
- data points
- graph based semi supervised learning
- active learning
- training data
- learning problems
- label propagation
- semi supervised learning methods
- labeled and unlabeled data
- semi supervised classification
- cluster analysis
- text classification
- improve the classification accuracy
- domain adaptation
- semi supervised learning algorithms
- data analysis
- image segmentation
- data sets
- multi instance learning
- regularization framework
- unlabeled samples
- constrained clustering
- pairwise constraints
- object recognition
- clustering method
- prior knowledge
- knowledge discovery