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Memorias de investigación
Communications at congresses:
Learning mixtures of polynomials from data using B-spline interpolation
Year:2012
Research Areas
  • Artificial intelligence,
  • Statistics
Information
Abstract
We present a method for learning mixture of polynomial approximations of probability densities from data using a linear combination of B-splines. Maximum likelihood estimators of the mixing coefficients of the linear combination are computed, and model selection is performed using a penalized likelihood criterion.
International
Si
Congress
Sixth European Workshop on Probabilistic Graphical Models
960
Place
Granada, Spain
Reviewers
Si
ISBN/ISSN
978-84-15536-57-4
Start Date
19/09/2012
End Date
21/09/2012
From page
211
To page
278
Proceedings of the Sixth European Workshop on Probabilistic Graphical Models
Participants
  • Autor: Pedro Luis Lopez Cruz (UPM)
  • Autor: Maria Concepcion Bielza Lozoya (UPM)
  • Autor: Pedro Maria Larrañaga Mugica (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: COMPUTATIONAL INTELLIGENCE GROUP
  • Departamento: Inteligencia Artificial
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