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Development of a Cyber-Physical System based on selective Gaussian naive Bayes model for a self-predict laser surface heat treatment process control
Citation
Díaz Rozo, Javier and Bielza Lozoya, María Concepción and Ocaña Moreno, José Luis and Larrañaga Múgica, Pedro María (2015). Development of a Cyber-Physical System based on selective Gaussian naive Bayes model for a self-predict laser surface heat treatment process control. In: "International Conference ML4CPS 2015", 01-02 oCT 2015, Lemgo, Alemania. ISBN 978-3-662-48836-2. pp. 1-8. https://doi.org/10.1007/978-3-662-48838-6_1.
Description
| Title: | Development of a Cyber-Physical System based on selective Gaussian naive Bayes model for a self-predict laser surface heat treatment process control |
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| Author/s: |
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| Item Type: | Presentation at Congress or Conference (Article) |
| Event Title: | International Conference ML4CPS 2015 |
| Event Dates: | 01-02 oCT 2015 |
| Event Location: | Lemgo, Alemania |
| Title of Book: | Machine Learning for Cyber Physical Systems |
| Date: | 2015 |
| ISBN: | 978-3-662-48836-2 |
| Subjects: | |
| Faculty: | E.T.S. de Ingenieros Informáticos (UPM) |
| Department: | Inteligencia Artificial |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
Development of a Cyber-Physical System based on selective Gaussian naive Bayes model for a self-predict laser surface heat treatment process control
Funding Projects
| Type | Code | Acronym | Leader | Title |
|---|---|---|---|---|
| Government of Spain | TIN2013-41592-P | Unspecified | Universidad Politécnica de Madrid | APRENDIZAJE DE REDES BAYESIANAS CON VARIABLES SIN Y CON DIRECCIONALIDAD PARA DESCUBRIMIENTO DE ASOCIACIONES, PREDICCION MULTIRESPUESTA Y CLUSTERING |
| Madrid Regional Government | S2013/ICE-2845 | CASI – CAM | Universidad Politécnica de Madrid | Conceptos y aplicaciones de los sistemas inteligentes |
More information
| Item ID: | 42138 |
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| DC Identifier: | http://oa.upm.es/42138/ |
| OAI Identifier: | oai:oa.upm.es:42138 |
| DOI: | 10.1007/978-3-662-48838-6_1 |
| Official URL: | http://link.springer.com/chapter/10.1007/978-3-662-48838-6_1 |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 11 Jan 2017 17:08 |
| Last Modified: | 11 Jan 2017 17:08 |
