LSCALE: Latent Space Clustering-Based Active Learning for Node Classification.
Juncheng LiuYiwei WangBryan HooiRenchi YangXiaokui XiaoPublished in: ECML/PKDD (1) (2022)
Keyphrases
- active learning
- latent space
- supervised learning
- training set
- pattern recognition
- latent variables
- decision trees
- machine learning
- text classification
- feature extraction
- feature vectors
- support vector
- random sampling
- feature selection
- learning algorithm
- data sets
- random projections
- density estimation
- incremental learning
- manifold learning
- high dimensionality
- machine learning algorithms
- model selection
- maximum likelihood
- low dimensional
- image classification
- dimensionality reduction