Comparative performance of deep learning and machine learning algorithms on imbalanced handwritten data
Imbalanced data is one of the challenges in a classification task in machine learning. Data disparity produces a biased output of a model regardless how recent the technology is. However, deep learning algorithms, such as deep belief networks showed promising results in many domains, especially in...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English English English |
| Published: |
The Science and Information (SAI) Organization
2018
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/62456/ http://irep.iium.edu.my/62456/ http://irep.iium.edu.my/62456/7/62456-Comparative%20performance%20of%20deep%20learning%20_scopus.pdf http://irep.iium.edu.my/62456/8/62456-Comparative%20Performance%20of%20Deep%20Learning_%20article.pdf http://irep.iium.edu.my/62456/19/62456_Comparative%20performance%20of%20deep%20learning_WOS.pdf |
Internet
http://irep.iium.edu.my/62456/http://irep.iium.edu.my/62456/
http://irep.iium.edu.my/62456/7/62456-Comparative%20performance%20of%20deep%20learning%20_scopus.pdf
http://irep.iium.edu.my/62456/8/62456-Comparative%20Performance%20of%20Deep%20Learning_%20article.pdf
http://irep.iium.edu.my/62456/19/62456_Comparative%20performance%20of%20deep%20learning_WOS.pdf