Revised online learning with kernels for classification and regression
Revised algorithm for online learning with kernels (OLK) in classification and regression is proposed in a reproducing kernel hilbert space (RKHS). Compared with the original OLK, the revised algorithm allows that the new data points arrive either one by one or two by two
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Institutional Knowledge at Singapore Management University
2013
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sg-smu-ink.sis_research-84342022-10-13T03:42:02Z Revised online learning with kernels for classification and regression LI, Guoqi RAMANATHAN, Kiruthika RAMANATHAN, Kiruthika SHI, Luping Revised algorithm for online learning with kernels (OLK) in classification and regression is proposed in a reproducing kernel hilbert space (RKHS). Compared with the original OLK, the revised algorithm allows that the new data points arrive either one by one or two by two 2013-09-19T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/7431 info:doi/10.1109/CIDM.2013.6597247 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems |
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Singapore Management University |
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SMU Libraries |
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Asia |
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Singapore Singapore |
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SMU Libraries |
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InK@SMU |
| language |
English |
| topic |
Databases and Information Systems |
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Databases and Information Systems LI, Guoqi RAMANATHAN, Kiruthika RAMANATHAN, Kiruthika SHI, Luping Revised online learning with kernels for classification and regression |
| description |
Revised algorithm for online learning with kernels (OLK) in classification and regression is proposed in a reproducing kernel hilbert space (RKHS). Compared with the original OLK, the revised algorithm allows that the new data points arrive either one by one or two by two |
| format |
text |
| author |
LI, Guoqi RAMANATHAN, Kiruthika RAMANATHAN, Kiruthika SHI, Luping |
| author_facet |
LI, Guoqi RAMANATHAN, Kiruthika RAMANATHAN, Kiruthika SHI, Luping |
| author_sort |
LI, Guoqi |
| title |
Revised online learning with kernels for classification and regression |
| title_short |
Revised online learning with kernels for classification and regression |
| title_full |
Revised online learning with kernels for classification and regression |
| title_fullStr |
Revised online learning with kernels for classification and regression |
| title_full_unstemmed |
Revised online learning with kernels for classification and regression |
| title_sort |
revised online learning with kernels for classification and regression |
| publisher |
Institutional Knowledge at Singapore Management University |
| publishDate |
2013 |
| url |
https://ink.library.smu.edu.sg/sis_research/7431 |
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1770576338346835968 |