Welcome!
To use the personalized features of this site, please log in or register.
If you have forgotten your username or password, we can help.
My Menu
Saved Items

Average and Majority Gates: Combining Information by Means of Bayesian Networks

Luis M. de CamposContact Information, Juan M. Fernández-LunaContact Information, Juan F. HueteContact Information and Miguel A. Rueda-MoralesContact Information

(2)  Departamento de Ciencias de la Computación e Inteligencia Artificial E.T.S.I. Informática, Universidad de Granada, 18071 Granada, Spain
Abstract
In this paper we focus on the problem of belief aggregation, i.e. the task of forming a group consensus probability distribution by combining the beliefs of the individual members of the group. We propose the use of Bayesian Networks to model the interactions between the individuals of the group and introduce average and majority canonical models and their application to information aggregation. Due to efficiency restrictions imposed by the Group Recommending problem, where our research is framed, we have had to develop specific inference algorithms to compute group recommendations.

Contact Information Luis M. de Campos
Email: lci@decsai.ugr.es

Contact Information Juan M. Fernández-Luna
Email: jmfluna@decsai.ugr.es

Contact Information Juan F. Huete
Email: jhg@decsai.ugr.es

Contact Information Miguel A. Rueda-Morales
Email: mrueda@decsai.ugr.es
Fulltext Preview (Small, Large)
Image of the first page of the fulltext

References secured to subscribers.



Export this chapter
Export this chapter as RIS | Text
 
Remote Address: 38.107.191.110 • Server: mpweb18
HTTP User Agent: CCBot/1.0 (+http://www.commoncrawl.org/bot.html)