Unsupervised Multiple Kernel Learning
Traditional multiple kernel learning (MKL) algorithms are essentially supervised learning in the sense that the kernel learning task requires the class labels of training data. However, class labels may not always be available prior to the kernel learning task in some real world scenarios, e.g., an...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2011
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/2291 https://ink.library.smu.edu.sg/context/sis_research/article/3291/viewcontent/Unsupervised_Multiple_Kernel_Learning.pdf |
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| Institution: | Singapore Management University |
| Language: | English |