Coalitional Bayesian autoencoders: Towards explainable unsupervised deep learning with applications to condition monitoring under covariate shift.
Bang Xiang YongAlexandra BrintrupPublished in: Appl. Soft Comput. (2022)
Keyphrases
- deep learning
- condition monitoring
- covariate shift
- deep belief networks
- restricted boltzmann machine
- unsupervised learning
- model selection
- semi supervised learning
- domain adaptation
- deep architectures
- weakly supervised
- fault detection
- fault diagnosis
- machine learning
- data generation
- semi supervised
- supervised learning
- cross validation
- unlabeled data
- training and test data
- mental models
- active learning
- feature selection
- maximum likelihood
- labeled data
- denoising
- data mining
- information retrieval
- decision making
- decision trees
- training data
- high dimensional
- text categorization
- higher order
- dimensionality reduction