Neural Network based Explicit Mixture Models and Expectation-maximization based Learning.
Dong LiuMinh Thành VuSaikat ChatterjeeLars K. RasmussenPublished in: IJCNN (2020)
Keyphrases
- mixture model
- expectation maximization
- em algorithm
- unsupervised learning
- reinforcement learning
- gaussian mixture model
- generative model
- learning algorithm
- density estimation
- maximum likelihood
- probabilistic model
- prior knowledge
- learning process
- language model
- supervised learning
- model selection
- gaussian mixture
- probability density function
- finite mixture model