Variational Approximation Accuracy in Bayesian Non-negative Matrix Factorization.
Naoki HayashiPublished in: CoRR (2018)
Keyphrases
- negative matrix factorization
- variational approximation
- bayesian inference
- matrix factorization
- em algorithm
- document clustering
- approximate inference
- sparse representation
- principal component analysis
- latent variables
- variational inference
- data sets
- text mining
- topic models
- knowledge discovery
- posterior probability
- prior knowledge
- latent dirichlet allocation
- recommender systems
- posterior distribution
- similarity measure
- image segmentation
- exact inference
- data mining