On complementing unsupervised learning with uncertainty quantification.
Ehsan KazemiFariborz TaherkhaniLiqiang WangPublished in: Pattern Recognit. Lett. (2023)
Keyphrases
- unsupervised learning
- supervised learning
- uncertain data
- deep learning
- machine learning
- quantitative evaluation
- expectation maximization
- semi supervised
- real world
- inherent uncertainty
- model selection
- text classification
- dimensionality reduction
- decision making
- artificial neural networks
- object recognition
- pattern recognition
- learning environment
- reinforcement learning
- similarity measure
- incomplete information
- case study
- e learning
- measurement errors
- real time
- deep architectures