Mining Points-of-Interest for Explaining Urban Phenomena: A Scalable Variational Inference Approach.
Christof NaumzikPatrick ZoechbauerStefan FeuerriegelPublished in: WWW (2020)
Keyphrases
- variational inference
- bayesian inference
- topic models
- posterior distribution
- latent dirichlet allocation
- variational methods
- probabilistic model
- gaussian process
- probabilistic graphical models
- closed form
- knowledge discovery
- data mining
- exponential family
- mixture model
- data points
- machine learning
- conditional random fields
- bayesian networks