Residual Bayesian Co-clustering for Matrix Approximation.
Hanhuai ShanArindam BanerjeePublished in: SDM (2010)
Keyphrases
- matrix approximation
- maximum entropy
- least squares
- approximation error
- theoretical guarantees
- low rank matrix approximation
- low rank matrix
- bregman divergences
- maximum likelihood
- low rank
- bayesian networks
- graphical models
- bayesian inference
- matrix factorization
- lower bound
- clustering algorithm
- posterior probability
- singular value decomposition
- semi supervised