The hierarchical VQSVM contains a set of local models i.e. codevectors produced by the vector quantization and a global model, i.e. support vector machine, to ...
The hierarchical VQSVM contains a set of local models i.e. codevectors produced by the vector quantization and a global model, i.e. support vector machine, to ...
The hierarchical VQSVM contains a set of local models i.e. codevectors produced by the Vector Quantization and a global model, i.e. Support Vector Machine, to ...
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Secondly the proposed VQSVM is applied to a nonstandard learning environment, imbalanced data sets. In cases of extremely imbalanced dataset with high ...
Combine vector quantization and support vector machine for imbalanced datasets ... A hierarchical VQSVM for imbalanced data sets · Yu, T; Jan, T; Simoff, S ...
The paper presents the results of testing the method on a collection of imbalanced data sets with various imbalance ratios and various numbers of subclasses.
For this task, we evaluate the performance of Bayesian networks by using some available strategies to overcome the effect of class imbalance. Our results show ...
Jan 1, 2009 · (2007) A Hierarchical VQSVM for Imbalanced Data. Sets. In Proceedings of The International /oint Conference on Neural Networks. Zhou, Z. H. ...
The paper presents the results of testing the method on a collection of imbalanced data sets with various imbalance ratios and various numbers of subclasses.