An interpretable fuzzy-ensemble method for classification and data analysis / Adel Lahsasna
Despite the advantage of being highly accurate classifiers, many machine learning methods such as artificial neural networks (ANNs) and support vector machines (SVMs) have been criticized for their lack of interpretability as users are prevented from knowing about the decision process of their inner...
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| Format: | Thesis |
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2016
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| Online Access: | http://studentsrepo.um.edu.my/6605/4/adel.pdf http://studentsrepo.um.edu.my/6605/ |
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