Model Selection for Non-Negative Tensor Factorization with Minimum Description Length.
Yunhui FuShin MatsushimaKenji YamanishiPublished in: Entropy (2019)
Keyphrases
- tensor factorization
- model selection
- minimum description length
- gaussian processes
- matrix factorization
- cross validation
- hyperparameters
- information theoretic
- negative matrix factorization
- mdl principle
- gaussian process
- collaborative filtering
- parameter estimation
- regression model
- sample size
- tag recommendation
- machine learning
- motion segmentation
- singular value decomposition
- missing data
- mixture model
- probabilistic latent semantic analysis
- feature selection
- nonnegative matrix factorization
- factorization method
- least squares
- computer vision
- feature space
- recommender systems
- information theory
- clustering method