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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).
Title: | Regression models with MoPs Bayesian networks |
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Author/s: |
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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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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.
Item ID: | 33269 |
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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 |