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Communication Dans Un Congrès Année : 2014

Second-Order Belief Hidden Markov Models

Résumé

Hidden Markov Models (HMMs) are learning methods for pattern recognition. The probabilistic HMMs have been one of the most used techniques based on the Bayesian model. First-order probabilistic HMMs were adapted to the theory of belief functions such that Bayesian probabilities were replaced with mass functions. In this paper, we present a second-order Hidden Markov Model using belief functions. Previous works in belief HMMs have been focused on the first-order HMMs. We extend them to the second-order model.
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Dates et versions

hal-01108238 , version 1 (22-01-2015)

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Jungyeul Park, Mouna Chebbah, Siwar Jendoubi, Arnaud Martin. Second-Order Belief Hidden Markov Models. Belief 2014, Sep 2014, Oxford, United Kingdom. pp.284 - 293, ⟨10.1007/978-3-319-11191-9_31⟩. ⟨hal-01108238⟩
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