Memorias de investigación
Communications at congresses:
The von Mises naïve Bayes classifier for angular data
Year:2011

Research Areas
  • Artificial intelligence

Information
Abstract
Directional and angular information are to be found in almost every field of science. Directional statistics provides the theoretical background and the techniques for processing such data, which cannot be properly managed by classical statistics. The von Mises distribution is the best known angular distribution. We extend the naive Bayes classifier to the case where directional predictive variables are modeled using von Mises distributions. We find the decision surfaces induced by the classifiers and illustrate their behavior with artificial examples. Two applications to real data are included to show the potential uses of these models. Comparisons with classical techniques yield promising results.
International
No
Congress
XIV Conferencia de la Asociación Española para la Inteligencia Artificial
960
Place
San Cristóbal de la Laguna, Tenerife, España
Reviewers
Si
ISBN/ISSN
978-3-642-25273-0
10.1007/978-3-642-25274-7_15
Start Date
07/11/2011
End Date
10/11/2011
From page
145
To page
154
Advances in Artificial Intelligence, Lecture Notes in Computer Science, Volume 7023
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: COMPUTATIONAL INTELLIGENCE GROUP
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Inteligencia Artificial