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| Format: | Artículo científico |
| Sprache: | es |
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Universidad San Francisco de Quito
2010
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| Online-Zugang: | https://www.redalyc.org/articulo.oa?id=726180822005 |
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| _version_ | 1866813353515548672 |
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| author | Eduardo Alba |
| author_facet | Eduardo Alba |
| contents | Generación de matrices para evaluar el desempeño de estrategias de búsqueda de testores típicos Eduardo Alba Roberto Santana Multidisciplinaria (Ciencias Naturales y Exactas) Testor theory fisure selection algorithm for finding typical testors Testors, and particularly typical testors, have been used in feature selection and supervised classification problems. Deterministic algorithms have usually been used to find typical testors. Recently, a new approach based on evolutionary algorithms has been developed. A common problem to test the behavior of both approaches is the necessity of knowing, in advance, the number of typical testors of a given basic matrix. For an arbitrary matrix, this number can not be known unless all typical testors have been found. Therefore, this paper introduces, for the first time, a strategy to generate basic matrices for which the number of typical testors is known without to find them. This method is illustrated with some examples. 2010 artículo científico 1390-5384 https://www.redalyc.org/articulo.oa?id=726180822005 es http://www.redalyc.org/revista.oa?id=7261 Avances en Ciencias e Ingenierías application/pdf Universidad San Francisco de Quito Avances en Ciencias e Ingenierías (Ecuador) Num.2 Vol.2 |
| format | Artículo científico |
| id | redalyc_726180822005 |
| language | es |
| publishDate | 2010 |
| publisher | Universidad San Francisco de Quito |
| spellingShingle | Generación de matrices para evaluar el desempeño de estrategias de búsqueda de testores típicos Eduardo Alba Multidisciplinaria (Ciencias Naturales y Exactas) Testor theory fisure selection algorithm for finding typical testors Generación de matrices para evaluar el desempeño de estrategias de búsqueda de testores típicos Eduardo Alba Roberto Santana Multidisciplinaria (Ciencias Naturales y Exactas) Testor theory fisure selection algorithm for finding typical testors Testors, and particularly typical testors, have been used in feature selection and supervised classification problems. Deterministic algorithms have usually been used to find typical testors. Recently, a new approach based on evolutionary algorithms has been developed. A common problem to test the behavior of both approaches is the necessity of knowing, in advance, the number of typical testors of a given basic matrix. For an arbitrary matrix, this number can not be known unless all typical testors have been found. Therefore, this paper introduces, for the first time, a strategy to generate basic matrices for which the number of typical testors is known without to find them. This method is illustrated with some examples. 2010 artículo científico 1390-5384 https://www.redalyc.org/articulo.oa?id=726180822005 es http://www.redalyc.org/revista.oa?id=7261 Avances en Ciencias e Ingenierías application/pdf Universidad San Francisco de Quito Avances en Ciencias e Ingenierías (Ecuador) Num.2 Vol.2 |
| title | Generación de matrices para evaluar el desempeño de estrategias de búsqueda de testores típicos |
| topic | Multidisciplinaria (Ciencias Naturales y Exactas) Testor theory fisure selection algorithm for finding typical testors |
| url | https://www.redalyc.org/articulo.oa?id=726180822005 |