Source independence in the theory of belief functions

Autor: Chebbah, Mouna

La fusion d'informations issues de plusieurs sources cherche à améliorer la prise de décision. Pour réaliser cette fusion, la théorie des fonctions de croyance utilise des règles de combinaison faisant bien souvent l'hypothèse de l'indépendan

Externí odkaz: http://www.theses.fr/2014REN1S032/document

Second-Order Belief Hidden Markov Models

Autor: Park, Jungyeul, Chebbah, Mouna, Jendoubi, Siwar, Martin, Arnaud

Publikováno v: Belief 2014, Sep 2014, Oxford, United Kingdom. pp.284 - 293

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

Externí odkaz: http://arxiv.org/abs/1501.05613

Evidential Independence Maximization on Twitter Network

Autor: Jendoubi, Siwar, Chebbah, Mouna, Martin, Arnaud

Publikováno v: 5th International Conference, Belief 2018
5th International Conference, Belief 2018, Sep 2018, Compiègne, France

International audience; Detecting independent users in online social networks is an interesting research issue. In fact, independent users cannot generally be influenced, they are independent in their choices and decisions. Independent users may attr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2d9da1ecf66e486998692b702e62585e
https://hal.archives-ouvertes.fr/hal-01879620

Considérant la dépendance dans la théorie des fonctions de croyance

Autor: Chebbah, Mouna, Kharoune, Mouloud, Martin, Arnaud, Yaghlane, Boutheina Ben

Publikováno v: Revue des Nouvelles Technologies de l'Information
Revue des Nouvelles Technologies de l'Information, Editions RNTI, 2014, Fouille de données complexes, RNTI-E-27, pp.43-64
Revue des Nouvelles Technologies de l'Information, 2014, Fouille de données complexes, RNTI-E-27, pp.43-64

In this paper, we propose to learn sources independence in order to choose the appropriate type of combination rules when aggregating their beliefs. Some combination rules are used with the assumption of their sources independence whereas others comb

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=arXiv_dedup_::b016f3ec362bbd36c1c502c922bb2286
https://hal.archives-ouvertes.fr/hal-01105239

Estimation de la fiabilité des sources des bases de données évidentielles

Autor: Chebbah, Mouna, Martin, Arnaud, Ben Yaghlane, Boutheina

Publikováno v: Revue des Nouvelles Technologies de l'Information
Revue des Nouvelles Technologies de l'Information, 2011, E (21), pp.191-208
Revue des Nouvelles Technologies de l'Information, Editions RNTI, 2011, E (21), pp.191-208

National audience; The conflict appearing while combining several uncertain information reflects the degree of conflict between their sources. This conflict can be managed before the combination step by discounting belief functions using sources' rel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3efe72a2fe519fddcfd8c72af0da8b71
https://hal.science/hal-00657353