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Descripción
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| 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. | |
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Internacional
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No |
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Nombre congreso
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XIV Conferencia de la Asociación Española para la Inteligencia Artificial |
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Tipo de participación
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960 |
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Lugar del congreso
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San Cristóbal de la Laguna, Tenerife, España |
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Revisores
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Si |
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ISBN o ISSN
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978-3-642-25273-0 |
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DOI
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10.1007/978-3-642-25274-7_15 |
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Fecha inicio congreso
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07/11/2011 |
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Fecha fin congreso
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10/11/2011 |
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Desde la página
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145 |
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Hasta la página
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154 |
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Título de las actas
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Advances in Artificial Intelligence, Lecture Notes in Computer Science, Volume 7023 |