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de Carvalho et al., 2018 - Google Patents

Improving knn classification under unbalanced data. A new geometric oversampling approach

de Carvalho et al., 2018

View PDF
Document ID
16573733531623944881
Author
de Carvalho A
Prati R
Publication year
Publication venue
2018 international joint conference on neural networks (IJCNN)

External Links

Snippet

Training classifiers with unbalanced data is one of the main challenges in the field of Machine Learning. Some techniques that try to get around this problem have been proposed, where one of most important is SMOTE, which artificially generates new instances …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
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