Online learning with kernels in classification and regression
New optimization models and algorithms for online learning with kernels (OLK) in classification and regression are proposed in a Reproducing Kernel Hilbert Space (RKHS) by solving a constrained optimization model. The “forgetting” factor in the model makes it possible that the memory requirement of...
| मुख्य लेखकों: | , |
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| अन्य लेखक: | |
| स्वरूप: | Conference Paper |
| भाषा: | English |
| प्रकाशित: |
2013
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| विषय: | |
| ऑनलाइन पहुंच: | https://hdl.handle.net/10356/84635 http://hdl.handle.net/10220/11985 |