Process Modeling, Hidden Markov Models, and Non-negative Tensor Factorization with Model Selection.
Erik SkauAndrew HollisStephan J. EidenbenzKim Ø. RasmussenBoian S. AlexandrovPublished in: CoRR (2022)
Keyphrases
- hidden markov models
- model selection
- tensor factorization
- cross validation
- hyperparameters
- parameter estimation
- sample size
- machine learning
- gaussian process
- mixture model
- conditional random fields
- motion segmentation
- singular value decomposition
- matrix factorization
- negative matrix factorization
- probability distribution
- high dimensional
- feature space
- feature selection