We present a novel approach to adaptive sampling using clustered continuous-time hidden Markov models. The model predicts, at any given sampling time, the probability of moving to an `alert' state, ...

The variant of the Hidden Markov Model where the state transition as well as observations occurs in the continuous time. Before starting work, you may check out the tutorial with examples. the ipython ...

In this paper, an STLF method based on ensemble hidden Markov model (e-HMM) is proposed to track and learn the dynamic characteristics of industrial customer’s consumption patterns in correlated ...