The L2 norm soft margin algorithms in SVMs can change each linearly inseparable problem into a separable one.
支持向量机中的L2范数软边缘算法可以将线性不可分问题转化为线性可分问题。
The following aspects were analysed according to the location, number, size, shape, margin and contour, intralesional structure and density, soft tissue mass, and hip joint change.
就病变的部位、数目、大小、形状、边缘轮廓、内部结构和密度、骨皮质、骨膜、软组织肿块以及髋关节改变等方面进行了分析。
Results Thymic hyperplasia (1 case) appeared as soft tissue density with a triangle shape margin in the region of thymus.
结果胸腺增生（ 1例）表现为胸腺区三角形软组织密度影，边界清楚；
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