| dc.creator | Sánchez-Díaz, Guillermo | |
| dc.creator | Díaz-Sánchez, Germán | |
| dc.creator | Mora-González, Miguel | |
| dc.creator | Aguirre-Salado, Carlos A. | |
| dc.creator | Huerta-Cuéllar, Guillermo | |
| dc.creator | Piza-Dávila, Hugo I. | |
| dc.creator | Reyes-Cárdenas, Óscar | |
| dc.creator | Cárdenas-Tristán, Abraham | |
| dc.date | 2014-03-14T18:13:16Z | |
| dc.date | 2014-03-14T18:13:16Z | |
| dc.date | 2014-05-01 | |
| dc.date.accessioned | 2023-07-21T21:55:09Z | |
| dc.date.available | 2023-07-21T21:55:09Z | |
| dc.identifier | Sanchez-Diaz, G.; Diaz-Sanchez, G.; Mora-Gonzalez, M; Piza-Davila, H.I.; Aguirre-Salado, C.A.; Huerta-Cuellar, G; Reyes-Cardenas, O.; Cardenas-Tristan, A. (2014). "An evolutionary algorithm with acceleration operator to generate a subset of typical testors". Pattern Recognition Letters. Volume 41, 1 May, pp.34-42. | |
| dc.identifier | 0167-8655 | |
| dc.identifier | http://www.sciencedirect.com/science/article/pii/S0167865513004297 | |
| dc.identifier | http://hdl.handle.net/11117/1217 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7755113 | |
| dc.description | This paper is focused on introducing a Hill-Climbing algorithm as a way to solve the problem of generating
typical testors – or non-reducible descriptors – from a training matrix. All the algorithms reported
in the state-of-the-art have exponential complexity. However, there are problems for which there is no
need to generate the whole set of typical testors, but it suffices to find only a subset of them. For this reason,
we introduce a Hill-Climbing algorithm that incorporates an acceleration operation at the mutation
step, providing a more efficient exploration of the search space. The experiments have shown that, under
the same circumstances, the proposed algorithm performs better than other related algorithms reported
so far. | |
| dc.description | ITESO, A.C. | |
| dc.format | application/pdf | |
| dc.language | eng | |
| dc.publisher | Elsevier | |
| dc.relation | Pattern Recognition Letters;41 | |
| dc.rights | http://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdf | |
| dc.subject | Hill Climbers | |
| dc.subject | Feature Selection | |
| dc.subject | Typical Testors | |
| dc.subject | Pattern Recognition | |
| dc.title | An evolutionary algorithm with acceleration operator to generate a subset of typical testors | |
| dc.type | info:eu-repo/semantics/article | |
