A Nonparametric Bayesian Model for Sparse Temporal Multigraphs.
Elahe GhalebiHamidreza MahyarRadu GrosuGraham W. TaylorSinead A. WilliamsonPublished in: CoRR (2019)
Keyphrases
- bayesian model
- dirichlet process mixture models
- dirichlet process
- bayesian inference
- bayesian framework
- posterior distribution
- conditional probabilities
- dictionary learning
- multi task learning
- bayesian models
- high dimensional
- sparse representation
- em algorithm
- semi supervised learning
- theoretical analysis
- prior information