Online learning with kernels
Kernel methods are popular nonparametric modeling tools in machine learning. The Mercer kernel function is applied to perform transformation of feature vectors from a low dimensional space to a high or even infinite dimensional reproducing kernel Hilbert space (RKHS), where linear solutions can be f...
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Format: | Thesis |
Language: | English |
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2014
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Online Access: | https://hdl.handle.net/10356/61869 |