Upper Bound of Bayesian Generalization Error in Non-negative Matrix Factorization.
Naoki HayashiSumio WatanabePublished in: CoRR (2016)
Keyphrases
- generalization error
- negative matrix factorization
- upper bound
- lower bound
- classification error
- matrix factorization
- sparse representation
- principal component analysis
- training error
- sample complexity
- document clustering
- worst case
- sample size
- vc dimension
- gradient method
- bayesian networks
- cross validation
- supervised learning
- neural network
- text mining
- information extraction
- feature vectors
- boosting algorithms