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Memorias de investigación
Ponencias en congresos:
Synergies between network-based representation and probabilistic graphical models for classification, inference and optimization problems in neurosciences
Año:2010
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
Neural systems network-based representations are useful tools to analyze numerous phenomena in neuroscience. Probabilistic graphical models (PGMs) give a concise and still rich representation of complex systems from different domains, including neural systems. In this paper we analyze the characteristics of a bidirectional relationship between networks-based representations and PGMs. We show the way in which this relationship can be exploited introducing a number of methods for the solution of classification, inference and optimization problems. To illustrate the applicability of the introduced methods, a number of problems from the field of neuroscience, in which ongoing research is conducted, are used.
Internacional
Si
Nombre congreso
23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010
Tipo de participación
960
Lugar del congreso
Córdoba, España
Revisores
Si
ISBN o ISSN
3-642-13032-1
DOI
10.1007/978-3-642-13033-5_16
Fecha inicio congreso
01/06/2010
Fecha fin congreso
04/06/2010
Desde la página
149
Hasta la página
158
Título de las actas
Trends in Applied Intelligent Systems
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Roberto Santana Hermida (UPM)
  • Autor: Maria Concepcion Bielza Lozoya (UPM)
  • Autor: Pedro Maria Larrañaga Mugica (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: COMPUTATIONAL INTELLIGENCE GROUP
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
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