End-to-End Incomplete Time-Series Modeling From Linear Memory of Latent Variables.
Qianli MaSen LiLifeng ShenJiabing WangJia WeiZhiwen YuGarrison W. CottrellPublished in: IEEE Trans. Cybern. (2020)
Keyphrases
- end to end
- latent variables
- probabilistic model
- posterior distribution
- prior knowledge
- random variables
- latent variable models
- congestion control
- topic models
- hidden variables
- gaussian process
- high bandwidth
- real valued
- latent space
- admission control
- approximate inference
- structural svms
- generative model
- wireless ad hoc networks
- observed variables
- data sets
- linear model
- sliding window
- application layer
- probability distribution
- scalable video
- web services
- machine learning
- internet protocol