Research Article
An Automatic Epilepsy Detection Method Based on Improved Inductive Transfer Learning
Algorithm 1
The description of the DLSR algorithm.
The description of DLSR | Input: | The training samples , and their corresponding class labels , where . The maximum number of iterations is . | Output: | The mapping matrix and the translation vector . | Training: | Step 1: Construct the label matrix and the indicator matrix , respectively. | Step 2: Get the value of by grid searching in the set of {10-4, 10-3, 10-2, 10-1, 100, 10, 102}. | Step 3: Initialize . Set . | Step 4: Update Q by . | Repeat | Step 5: Update the label matrix by . | Step 6: Update and by Eqs. (8) and (10). | Step 7: Update the regression error matrix by . | Step 8: Update the label shift matrix by Eq. (14). | Step 9: Let and | Until . | Step 10: Output and . |
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