Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy

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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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Bibliographic Details
Main Author:	Ganesh , Krishnasamy
Format:	Thesis
Published:	2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://studentsrepo.um.edu.my/10006/ http://studentsrepo.um.edu.my/10006/1/Ganesh_Krishmasamy.pdf http://studentsrepo.um.edu.my/10006/2/Ganesh_Krishnasamy_%2D_Thesis.pdf

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