Efficient resampling methods for training support vector machines with imbalanced datasets

Библиографические подробности
Главные авторы: Batuwita, R, Palade, V
Формат: Conference item
Опубликовано: 2010
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author Batuwita, R
Palade, V
author_facet Batuwita, R
Palade, V
author_sort Batuwita, R
collection OXFORD
description
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id oxford-uuid:006ebe3f-5315-4b69-a71e-76d01cfc20cd
institution University of Oxford
last_indexed 2024-03-06T18:02:56Z
publishDate 2010
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spelling oxford-uuid:006ebe3f-5315-4b69-a71e-76d01cfc20cd2022-03-26T08:29:31ZEfficient resampling methods for training support vector machines with imbalanced datasetsConference itemhttp://purl.org/coar/resource_type/c_5794uuid:006ebe3f-5315-4b69-a71e-76d01cfc20cdDepartment of Computer Science2010Batuwita, RPalade, V
spellingShingle Batuwita, R
Palade, V
Efficient resampling methods for training support vector machines with imbalanced datasets
title Efficient resampling methods for training support vector machines with imbalanced datasets
title_full Efficient resampling methods for training support vector machines with imbalanced datasets
title_fullStr Efficient resampling methods for training support vector machines with imbalanced datasets
title_full_unstemmed Efficient resampling methods for training support vector machines with imbalanced datasets
title_short Efficient resampling methods for training support vector machines with imbalanced datasets
title_sort efficient resampling methods for training support vector machines with imbalanced datasets
work_keys_str_mv AT batuwitar efficientresamplingmethodsfortrainingsupportvectormachineswithimbalanceddatasets
AT paladev efficientresamplingmethodsfortrainingsupportvectormachineswithimbalanceddatasets