Research Article
Discriminative Extreme Learning Machine with Cross-Domain Mean Approximation for Unsupervised Domain Adaptation
| Input: Data set and , tradeoff parameters , , and . Output: Output layer weight | | Step 1: Randomly initialize input weights and biases of the hidden layer with nodes, and set tradeoff parameters , , and . | | Step 2: Transform and to and using , and set and to zero. | | Step 3: Calculate according to equation (17). | | Step 4: Use to predict and get its label . | | Step 5: Solve and by using , , and according to equations (12) and (13). | | Step 6: Repeat steps 3–5 until unchanged. |
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