Listar LSI_Articles por autoría "86b3c397-575e-467b-91c7-a87b873ff1e1"
Mostrando ítems 1-8 de 8
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A hybrid method to face class overlap and class imbalance on neural networks and multi-class scenarios
Elsevier (2013)Class imbalance and class overlap are two of the major problems in data mining and machine learning. Several studies have shown that these data complexities may affect the performance or behavior of artificial neural ... -
A rejection option for the multilayer perceptron using hyperplanes
(2011)Currently, a growing quantity of the Artificial Intelligence tasks demand a high efficiency of the classification systems (classifiers); making an error in the classification of an object or event can cause serious problems. ... -
Associative learning on imbalanced environments: An empirical study
Elsevier (2015-10)Associative memories have emerged as a powerful computational neural network model for several pattern classification problems. Like most traditional classifiers, these models assume that the classes share similar prior ...
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Back propagation with balanced MSE cost Function and nearest neighbor editing for handling class overlap and class imbalance
Springer (2011)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 ...
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Resampling methods versus cost functions for training an MLP in the class imbalance context
Springer-Verlag (2011)The class imbalance problem has been studied from different approaches, some of the most popular are based on resizing the data set or internally basing the discrimination-based process. Both methods try to compensate the ...
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Use of ensemble based on GA for imbalance problem
Springer Verlag (Germany) (2009)In real-world applications, it has been observed that class imbalance (significant differences in class prior probabilities) may produce an important deterioration of the classifier performance, in particular with patterns ...
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Using hybrid associative classifier with translation (HACT) for studying imbalanced data sets
Universidad Nacional de Colombia (Sede Bogotá). Facultad de Ingeniería (2012)En diversos problemas de reconocimiento de patrones, se ha observado que el desequilibrio de clases puede disminuir el desempeño del clasificador, principalmente en los patrones de las clases minoritarias. Una estrategia ...
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Weighted Complete Graphs for Condensing Data
Elsevier B.V. (2020-12-01)In many real-world problems (such as industrial applications, chemistry models, social network analysis, among others), their solution can be obtained by transforming the problem in terms of vertices and edges, that is ...
