Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering.
Weichang WuJunchi YanXiaokang YangHongyuan ZhaPublished in: CoRR (2019)
Keyphrases
- mixture model
- point processes
- reinforcement learning
- unsupervised learning
- density estimation
- mixture modeling
- model based clustering
- optimal policy
- em algorithm
- gaussian mixture model
- generative model
- bayesian information criterion
- probabilistic mixture model
- expectation maximization
- model selection
- maximum likelihood
- k means
- clustering algorithm
- probabilistic model
- language model
- monte carlo
- hot spots
- finite mixture model
- simultaneous clustering
- supervised learning
- state space
- learning algorithm
- data points
- gaussian mixture
- information retrieval
- unsupervised classification
- video sequences
- image segmentation
- pattern recognition
- feature selection
- markov chain