Translation Template Learning Based on Hidden Markov Modeling

clustering, Hidden Markov Model, inference, intelligent tutoring system, learning action patterns, learner engagement, prediction, transition

We proposed and analysed three learning algorithms for HMMs: Baum-Welch On- line (BWO), Bayesian Online Algorithm (BOnA) and Mean Posterior Approximation (MPA). We showed the

Hidden Markov models for eye movement modeling Definitions HMMs model data varying over time, and can be seen as generated by a process switching between dif- ferent phases or states

Therefore, this study applied the hidden Markov model (HMM) and non-homogeneous hidden Markov model (NHMM) to model daily rainfall of 40 stations in Peninsular Malaysia

4.28 PESQ scores in different model configurations comparing with the log MMSE method and no noise compensation (NNC). a) and b) show the PESQ scores of enhanced speech in white

We identify tutorial dialogue modes in an unsupervised fashion using hidden Markov models (HMMs) trained on input sequences of manually-labeled dialogue acts

In this paper, we propose to model the evolution of data sensors during the driving situation encountered by a driver, using the hidden Markov Model formalism.. We then use

ferent sources: the aggregate initial distribution related to the municipalities and the two