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Regression models with MoPs Bayesian networks
Citation
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 |
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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 |
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 |
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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 |
