DUOL: A Double Updating Approach for Online Learning
In most online learning algorithms, the weights assigned to the misclassified examples (or support vectors) remain unchanged during the entire learning process. This is clearly insufficient since when a new misclassified example is added to the pool of support vectors, we generally expect it to affe...
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Main Authors: | , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2009
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Online Access: | https://ink.library.smu.edu.sg/sis_research/2367 https://ink.library.smu.edu.sg/context/sis_research/article/3367/viewcontent/NIPS_DUOL_138CR.pdf |
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Institution: | Singapore Management University |
Language: | English |
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