Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy
Feature selection and classification are widely utilized for data analysis. Recently, considerable advancement has been achieved in semi-supervised multi-task feature selection algorithms, where they have exploited the shared information from multiple related tasks. However, these semi-supervised...
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| Format: | Thesis |
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2019
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| Online Access: | http://studentsrepo.um.edu.my/10006/1/Ganesh_Krishmasamy.pdf http://studentsrepo.um.edu.my/10006/2/Ganesh_Krishnasamy_%2D_Thesis.pdf http://studentsrepo.um.edu.my/10006/ |
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