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在 ML 中,线性分类器的决策边界: w_1 x_1 + w_2 x_2 + b = 0 。新点到边界的距离表示"置信度"。
在 ML 中,线性分类器的决策边界: w_1 x_1 + w_2 x_2 + b = 0 。新点到边界的距离表示"置信度"。
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