Research Article
Research on Psychological Emotion Recognition of College Students Based on Deep Learning
| (i) | Input: data set T = {(x1, y1), (x2, y2),…, (xm, ym)}, loss function L | | (ii) | Output: Additive model = fM(x) | | | (1) Initialize the base classifier | | | (2) Each base classifier needs to perform the following operations: | | | ① According to the loss function, the negative gradient of each sample in the current model is calculated and used as an estimate of the residual | | | ② For a given , the leaf node , , j = 1,2,..,J, j is the number of leaf nodes | | | ③ For leaf nodes, calculate | | | ④ Update regression tree | | | (3) Output gradient lifting tree |
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