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http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1184| Prototype selection based on sequential search | |
| JOSE ARTURO OLVERA LOPEZ JOSE FRANCISCO MARTINEZ TRINIDAD JESUS ARIEL CARRASCO OCHOA | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| Prototype selection Quality training set Supervised classification Sequential search | |
| In this paper, we propose and explore the use of the sequential search for solving the prototype selection problem since this kind of search has shown good performance for solving selection problems. We propose three prototype selection methods based on sequential search. The main goal of our methods is to reduce the training data without losing too much classification accuracy. Experiments and results are reported showing the effectiveness of the proposed methods and comparing their performance against other prototype selection methods. | |
| IOS Press | |
| 2009 | |
| Artículo | |
| Inglés | |
| Estudiantes Investigadores Público en general | |
| Olvera-López, J.A., et al., (2009). Prototype selection based on sequential search, Intelligent Data Analysis (13): 599–631 | |
| CIENCIA DE LOS ORDENADORES | |
| Versión aceptada | |
| acceptedVersion - Versión aceptada | |
| Aparece en las colecciones: | Artículos de Ciencias Computacionales |
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| Fichero | Tamaño | Formato | |
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| 2009-MartinezTrinidadJoseFco-Prototype Selection based.pdf | 236.6 kB | Adobe PDF | Visualizar/Abrir |