A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria.
Maria HalkidiDimitrios GunopulosNitin KumarMichalis VazirgiannisCarlotta DomeniconiPublished in: ICDM (2005)
Keyphrases
- semi supervised learning
- unsupervised learning
- semi supervised
- manifold regularization
- unlabeled data
- supervised learning
- labeled data
- regularization framework
- co training
- multi view learning
- multiple instance learning
- semi supervised learning setting
- semi supervised clustering
- clustering method
- probabilistic model
- machine learning
- semi supervised classification
- discriminative models
- graph based semi supervised learning
- instance level constraints
- graph construction
- semi supervised learning algorithms
- dirichlet process mixture models
- data clustering
- label propagation
- distance metric
- dimensionality reduction
- natural language processing
- active learning
- reinforcement learning
- decision trees
- clustering algorithm