Second-Order Belief Hidden Markov Models

Autor: Park, Jungyeul, Chebbah, Mouna, Jendoubi, Siwar, Martin, Arnaud
Rok vydání: 2015
Předmět:
Zdroj: Belief 2014, Sep 2014, Oxford, United Kingdom. pp.284 - 293
Druh dokumentu: Working Paper
DOI: 10.1007/978-3-319-11191-9_31
Popis: 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.
Databáze: arXiv