Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Guillermo Sánchez-Díaz"'
Publikováno v:
EURE (Santiago) - Revista Latinoamericana de Estudios Urbano Regionales, Vol 41, Iss 124, Pp 113-117 (2015)
La zona metropolitana de San Luis Potosí (ZMSLP) se localiza estratégicamente entre las ciudades más pobladas de México: la capital del país (México, D.F.), Guadalajara y Monterrey; además, es parte de la ruta de migración de personas proveni
Externí odkaz:
https://doaj.org/article/f8106748cfe045bd8d7ef968ed1a0c92
Un algoritmo de clasificación incremental basado en los k vecinos más similares para datos mezclados
Autor:
Guillermo Sánchez-Díaz, Uriel E. Escobar-Franco, Luis R. Morales-Manilla, Iván Piza-Dávila, Carlos Aguirre-Salado, Anilu Franco-Arcega
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia, Iss 67, Pp 19-30 (2013)
En este trabajo, se presenta un algoritmo de clasificación incremental basado en los k vecinos más similares, el cual permite trabajar con datos mezclados y funciones de semejanza que no necesariamente son distancias. El algoritmo presentado es ade
Externí odkaz:
https://doaj.org/article/4bade34c022d4400b9bc57ab49fe2673
Autor:
Guillermo Sánchez-Díaz, Uriel E. Escobar-Franco, Luis R. Morales-Manilla, Iván Piza-Dávila, Carlos Aguirre-Salado, Anilu Franco-Arcega
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia, Iss 67 (2013)
This paper presents an incremental k-most similar neighbor classifier, for mixed data and similarity functions that are not necessarily distances. The algorithm presented is suitable for processing large data sets, because it only stores in main memo
Externí odkaz:
https://doaj.org/article/de54615b91ff488cb0e5a7abf9884a57
Publikováno v:
Revista Facultad de Ingeniería Universidad de Antioquia, Iss 50 (2013)
Externí odkaz:
https://doaj.org/article/5fa28c7ddf3d4ed2b963d4a01cc5dc0e
Autor:
Ivan E. Villalon-Turrubiates, Manuel S. Lazo-Cortés, Ivan Piza-Davila, Guillermo Sánchez-Díaz
Publikováno v:
IEEE Access, Vol 8, Pp 56312-56320 (2020)
In pattern recognition, the elimination of unnecessary and/or redundant attributes is known as feature selection. Irreducible testors have been used to perform this task. An objective of the Minimum Description Length Principle (MDL) applied to featu
Modeling spatial pattern of dengue in North Central Mexico using survey data and logistic regression
Autor:
Humberto Reyes-Hernández, Carlos Soubervielle-Montalvo, Oscar Reyes-Cárdenas, Daniel Sánchez-Hernández, Marcela Virginia Santana-Juárez, Carlos Arturo Aguirre-Salado, Alejandro Ivan Aguirre-Salado, Guillermo Sánchez-Díaz
Publikováno v:
International Journal of Environmental Health Research. 31:872-888
Dengue is a major public health concern mainly in tropical and subtropical environments worldwide. Despite several attempts to prevent this disease occurring in tropical regions of Mexico, it has not yet been controlled. This work focused on spatial
Publikováno v:
Pattern Recognition Letters. 95:22-28
Irreducible testors have been used to solve feature selection problems. All the exhaustive algorithms reported for the generation of irreducible testors have exponential complexity. However, several problems only require a portion of irreducible test
Autor:
Guillermo Sánchez-Díaz, Jorge A. Flores-Cano, José Walter Pedroza-Carneiro, Carlos Arturo Aguirre-Salado, Juan José Silva-Gallegos, Liliana Miranda-Aragón, José René Valdez-Lazalde
Publikováno v:
Sugar Tech. 19:206-218
In order to search for alternative sweeteners for human beings, researchers are recently focusing their attention to find natural sweeteners that have low caloric values and are highly beneficial for the health. Stevia rebaudiana is one of the altern
Autor:
Jesús Ariel Carrasco-Ochoa, Manuel S. Lazo-Cortés, Guillermo Sánchez-Díaz, José Fco. Martínez-Trinidad
Publikováno v:
Information Sciences. 294:152-163
This paper studies the relations between rough set reducts and typical testors from the so-called logical combinatorial approach to pattern recognition. Definitions, comments and observations are formally introduced and supported by illustrative exam
Autor:
Ivan Piza-Davila, Carlos Arturo Aguirre-Salado, Guillermo Sánchez-Díaz, Manuel S. Lazo-Cortés
Publikováno v:
Applied Intelligence. 42:622-641
The generation of irreducible testors from a training matrix is an expensive computational process: all the algorithms reported have exponential complexity. However, for some problems there is no need to generate the entire set of irreducible testors