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

• Main Author: Ganesh , Krishnasamy
• Format: Thesis
• Published: 2019
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• 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/

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...