Comparative performance of deep learning and machine learning algorithms on imbalanced handwritten data

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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...

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Bibliographic Details
Main Authors:	Amri, A’inur A’fifah, Ismail, Amelia Ritahani, Zarir, Abdullah Ahmad
Format:	Article
Language:	English English English
Published:	The Science and Information (SAI) Organization 2018
Subjects:	QA75 Electronic computers. Computer science
Online Access:	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

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