Deep State-Space Generative Model For Correlated Time-to-Event Predictions.
Yuan XueDenny ZhouNan DuAndrew M. DaiZhen XuKun ZhangClaire CuiPublished in: KDD (2020)
Keyphrases
- generative model
- state space
- learned models
- probabilistic model
- bayesian framework
- event detection
- reinforcement learning
- prior knowledge
- em algorithm
- discriminative learning
- posterior probability
- state variables
- markov decision processes
- dynamic programming
- generative and discriminative models
- optimal policy
- reward function
- discriminative models
- conditional random fields
- computer vision
- particle filter
- latent dirichlet allocation
- markov chain monte carlo
- text documents
- learning tasks
- semi supervised
- probability distribution
- fisher kernel
- hierarchical bayesian model
- fully bayesian
- learning algorithm