Back propagation with balanced MSE cost Function and nearest neighbor editing for handling class overlap and class imbalance
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Otros documentos de la autoría: Alejo Eleuterio, Roberto; Martínez Sotoca, José; García, Vicente; Valdovinos Rosas, Rosa María
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7038
comunitat-uji-handle3:10234/8634
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Título
Back propagation with balanced MSE cost Function and nearest neighbor editing for handling class overlap and class imbalanceAutoría
Fecha de publicación
2011Editor
SpringerISSN
0302-9743; 1611-3349Cita bibliográfica
Lecture notes in computer science (2011), vol. 6691, 199-206Tipo de documento
info:eu-repo/semantics/articleVersión
info:eu-repo/semantics/submittedVersionPalabras clave / Materias
Resumen
The class imbalance problem has been considered a critical factor for designing and constructing the supervised classifiers. In the case of artificial neural networks, this complexity negatively affects the generali ... [+]
The class imbalance problem has been considered a critical factor for designing and constructing the supervised classifiers. In the case of artificial neural networks, this complexity negatively affects the generalization process on under-represented classes. However, it has also been observed that the decrease in the performance attainable of standard learners is not directly caused by the class imbalance, but is also related with other difficulties, such as overlapping. In this work, a new empirical study for handling class overlap and class imbalance on multi-class problem is described. In order to solve this problem, we propose the joint use of editing techniques and a modified MSE cost function for MLP. This analysis was made on a remote sensing data . The experimental results demonstrate the consistency and validity of the combined strategy here proposed [-]
Derechos de acceso
© Springer-Verlag Berlin Heidelberg 2011
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info:eu-repo/semantics/openAccess
http://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
info:eu-repo/semantics/openAccess
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