Research Article
Motor Imagery Recognition Method Based on Multisource Transfer Learning and Multiclassifier Fusion
Table 2
Labeling accuracy of unlabeled samples in multiple source domains based on semi-supervised learning(%).
| Subjects | The number of correct labeled samples | The number of mislabeled samples | Accuracy(%) |
| 1 | 127 | 10 | 92.70 | 2 | 144 | 28 | 83.72 | 3 | 184 | 39 | 82.51 | 4 | 302 | 34 | 89.88 | 5 | 344 | 56 | 86.00 | 6 | 508 | 71 | 87.74 | 7 | 262 | 25 | 91.29 | 8 | 207 | 33 | 86.25 | 9 | 254 | 31 | 89.12 |
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