Research Article
A Novel Multiple Instance Learning Method Based on Extreme Learning Machine
Table 1
ELM-MIL performance on benchmark data sets.
| Algorithm | MUSK1 | MUSK2 | Elephant | Fox | Tiger |
| Iterated-discrim APR [1] | 92.4 | 89.2 | N/A | N/A | N/A | Citation-NN [14] | 92.4 | 86.3 | N/A | N/A | N/A | Diverse Density [13] | 88 | 84 | N/A | N/A | N/A | ELM-MIL (proposed) | 86.5 (4.2) | 85.8 (4.6) | 76.7 (3.9) | 59.5 (3.7) | 74.6 (2.4) | EM-DD [3] | 84.8 | 84.9 | 78.3 | 56.1 | 72.4 | BP-MIP [16] | 83.7 | 80.4 | N/A | N/A | N/A | MI-SVM [8] | 77.9 | 84.3 | 81.4 | 59.4 | 84 | C4.5 [15] | 68.5 | 58.5 | N/A | N/A | N/A |
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