Kernel based online learning
Kernel Based Online Learning (KBOL) is an important branch of online learning in machine learning, in which the objective is to optimize the online predictive performance, typically measured by classification accuracy. It enjoys many advantages when solving real-world large-scale applications, such...
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| Format: | Thesis |
| Language: | English |
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2013
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| Online Access: | https://hdl.handle.net/10356/54684 |