Multiview Laplacian semisupervised feature selection by leveraging shared knowledge among multiple tasks
Recently, considerable advancement has been achieved in semisupervised multitask feature selection methods, which they exploit the shared information from multiple related tasks. Besides, these algorithms have adopted manifold learning to leverage both the unlabeled and labeled data since its labori...
Main Authors: | Krishnasamy, Ganesh, Paramesran, Raveendran |
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Format: | Article |
Published: |
Elsevier
2019
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Subjects: |
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