Transfer-Learning-Based Gaussian Mixture Model for Distributed Clustering.
Rongrong WangShiyuan HanJin ZhouYuehui ChenLin WangTao DuKe JiYa-ou ZhaoKun ZhangPublished in: IEEE Trans. Cybern. (2023)
Keyphrases
- gaussian mixture model
- transfer learning
- speaker clustering
- mixture model
- learning tasks
- bayesian information criterion
- knowledge transfer
- labeled data
- cross domain
- expectation maximization
- em algorithm
- maximum likelihood
- feature vectors
- clustering algorithm
- reinforcement learning
- active learning
- k means
- multi task learning
- transfer knowledge
- data points
- domain adaptation
- semi supervised learning
- multi task
- unsupervised learning
- machine learning
- text classification
- learning algorithm
- text categorization
- feature space
- transferring knowledge
- machine learning algorithms
- collaborative filtering
- dimensionality reduction
- text mining
- semi supervised
- high dimensional
- high dimensional data
- support vector machine
- probabilistic model
- supervised learning