We propose the Bayesian information criterion (BIC) and the Akaike information criterion (AIC) for model selection in hidden Markov models (HMM) when the number of states is unknown. The exact ...

The problem of multi-view unsupervised feature selection receive more attention in recent years. Most of existing works explore the shared information across multi-views. Several embedded algorithms ...