Regression models with MoPs Bayesian networks

Varando, Gherardo and Bielza Lozoya, Maria Concepcion and Larrañaga Múgica, Pedro (2014). Regression models with MoPs Bayesian networks. Monografía (Technical Report). E.T.S. de Ingenieros Informáticos (UPM).

Description

Title: Regression models with MoPs Bayesian networks
Author/s:
  • Varando, Gherardo
  • Bielza Lozoya, Maria Concepcion
  • Larrañaga Múgica, Pedro
Item Type: Monograph (Technical Report)
Date: 2014
Subjects:
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition

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Abstract

We present a model of Bayesian network for continuous variables, where densities and conditional densities are estimated with B-spline MoPs. We use a novel approach to directly obtain conditional densities estimation using B-spline properties. In particular we implement naive Bayes and wrapper variables selection. Finally we apply our techniques to the problem of predicting neurons morphological variables from electrophysiological ones.

More information

Item ID: 33269
DC Identifier: http://oa.upm.es/33269/
OAI Identifier: oai:oa.upm.es:33269
Deposited by: Gherardo Varando
Deposited on: 23 Dec 2014 11:18
Last Modified: 23 Dec 2014 11:18
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