The Bayesian Low-Rank Determinantal Point Process Mixture Model.
Mike GartrellUlrich PaquetNoam KoenigsteinPublished in: CoRR (2016)
Keyphrases
- mixture model
- low rank
- em algorithm
- maximum likelihood
- gaussian mixture model
- model selection
- missing data
- matrix factorization
- language model
- convex optimization
- unsupervised learning
- semi supervised
- singular value decomposition
- low rank matrix
- machine learning
- density estimation
- high dimensional data
- expectation maximization
- reinforcement learning
- bayesian networks
- decision trees
- learning algorithm