Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models.
Ye TianHaolei WengYang FengPublished in: CoRR (2022)
Keyphrases
- transfer learning
- multi task
- gaussian mixture model
- learning tasks
- multi task learning
- mixture model
- unsupervised learning
- semi supervised
- labeled data
- multitask learning
- semi supervised learning
- machine learning
- expectation maximization
- reinforcement learning
- feature vectors
- gaussian processes
- em algorithm
- collaborative filtering
- active learning
- maximum likelihood
- supervised learning
- machine learning algorithms
- transfer knowledge
- text categorization
- text classification
- multiple tasks
- unlabeled data
- learning problems
- learning algorithm
- feature space
- generative model
- multi class
- similarity measure
- decision trees
- e learning
- target domain
- feature selection
- data sets