• español
  • English
  • Login
      • español
      • English
    • English 
      • español
      • English
    • Login
    View Item 
    •   riUAL Home
    • Repositorio de la Producción Científica de la Universidad de Almería
    • Departamento de Matemáticas
    • Congresos Dpto. Matemáticas
    • View Item
    •   riUAL Home
    • Repositorio de la Producción Científica de la Universidad de Almería
    • Departamento de Matemáticas
    • Congresos Dpto. Matemáticas
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Selective naive Bayes predictor with mixtures of truncated exponentials

    Files
    selective_nb_mte_ciudad_real.pdf (166.4Kb)
    Identifiers
    URI: http://hdl.handle.net/10835/1547
    Services
    RISMendeley
    Share
    Stadistics
    View Usage Statistics
    Metadata
    Show full item record
    Author/s
    Morales, María; Rodríguez, Carmelo; Salmerón Cerdán, Antonio
    Date
    2006
    Abstract
    Naive Bayes models have been successfully used in classification problems where the class variable is discrete. Naive Bayes models have been applied to regression or prediction problems, i.e. classification problems with continuous class, but usually under the assumption that the joint distribution of the feature variables and the class is multivariate Gaussian. In this paper we are interested in regres- sion problems where some of the feature variables are discrete while the others are continuous. We propose a Naive Bayes predictor based on the approximation of the joint distribution by a Mixture of Truncated Exponentials (MTE). We have designed a procedure for selecting the variables that should be used in the construction of the model. This scheme is based on the mutual information between each of the candidate variables and the class. Since the mutual information can not be computed exactly for the MTE distribution, we introduce an unbiased estimator of it, based on Monte Carlo met...
    Collections
    • Congresos Dpto. Matemáticas [25]

    Browse

    All of riUALCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    Statistics

    View Usage Statistics

    Of interest

    About the RepositoryCopyright FAQsSelf-archiving instructions

    Autoarchivo policies of publishers

    Indexed in

    Contact Us
    Contact Us