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Supervisión y emisión de dictamen técnico de cumplimiento del proyecto de modernización del área comercial de la Comisión Estatal de Aguas de Querétaro (CEA) en el municipio de: Jalpan de Serra
(Instituto Mexicano de Tecnología del Agua. Coordinación de Hidráulica., 2017)
Multi-label semi-supervised classification through optimum-path forest
(Elsevier B.V., 2018-10-01)
Multi-label classification consists of assigning one or multiple classes to each sample in a given dataset. However, the project of a multi-label classifier is usually limited to a small number of supervised samples as ...
Using the Web as corpus for self-training text categorization
(Springer Science+Business Media, 2009)
La supervisión escolar : prácticas y significados de los actores educativos.
(c2017 Todos los derechos reservados UPN, 2013)
Network-based high level data classification
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCPISCATAWAY, 2012)
Traditional supervised data classification considers only physical features (e. g., distance or similarity) of the input data. Here, this type of learning is called low level classification. On the other hand, the human ...
A comparison between k-Optimum Path Forest and k-Nearest Neighbors supervised classifiers
(Elsevier Science BvAmsterdamHolanda, 2014)
Clasificación semi-supervisada con pesos dinámicos aplicada a imágenes de percepción remota
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2007)
Supervised classifiers based on emerging patterns for class imbalance problems
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2017)
Optimum-Path Forest based on k-connectivity: Theory and applications
(Elsevier B.V., 2017-02-01)
Graph-based pattern recognition techniques have been in the spotlight for many years, since there is a constant need for faster and more effective approaches. Among them, the Optimum-Path Forest (OPF) framework has gained ...