Research Article
Distance Based Multiple Kernel ELM: A Fast Multiple Kernel Learning Approach
Table 5
Classification case: classification training time (s).
| Data | DBMK-ELM | SimpleMKL [16] | -MK-ELM [23] | R-MK-ELM [23] | ELM [8] | UW |
| Ionosphere | 0.0210 ± 0.0016 | 0.8216 ± 0.4888 | 0.4115 ± 0.0558 | 1.9217 ± 0.0419 | 0.0009 ± 0.0001 | 0.0009 ± 0.0001 | Sonar | 0.0063 ± 0.0006 | 0.2919 ± 0.1673 | 0.2498 ± 0.0396 | 0.7698 ± 0.0242 | 0.0003 ± 0.0001 | 0.0003 ± 0.0000 | wdbc | 0.0580 ± 0.0051 | 4.2746 ± 4.2881 | 0.9743 ± 0.2876 | 6.4733 ± 0.2250 | 0.0023 ± 0.0004 | 0.0024 ± 0.0004 | wpbc | 0.0061 ± 0.0006 | 0.3777 ± 0.3230 | 0.0685 ± 0.0303 | 0.6542 ± 0.0202 | 0.0004 ± 0.0001 | 0.0004 ± 0.0001 | Breast | 0.0016 ± 0.0004 | 13.5007 ± 16.8849 | 0.1701 ± 0.0405 | 0.3024 ± 0.0214 | 0.0003 ± 0.0002 | 0.0002 ± 0.0001 | Glass | 0.0083 ± 0.0016 | 6.5990 ± 16.2960 | 0.2948 ± 0.1141 | 0.7010 ± 0.0631 | 0.0005 ± 0.0001 | 0.0004 ± 0.0001 | Wine | 0.0063 ± 0.0014 | 1.2676 ± 0.7903 | 0.2299 ± 0.0387 | 0.6000 ± 0.0168 | 0.0004 ± 0.0002 | 0.0004 ± 0.0001 |
| AVG | | | | | | |
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