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；
CT can effectively show the characteristics of lesions. Showing the destruction of bone, expanding of bone, sclerotic margin, hemorrhages, bone septum, calcification and soft tissue …
它易于显示病变的特征，对骨质破坏、骨膨胀、硬化缘、出血、骨间隔、钙化及软组织肿块等均能很好的显示。
CT can effectively show the characteristics of lesions. Showing the destruction of bone, expanding of bone, sclerotic margin, hemorrhages, bone septum, calcification and soft tissue …
它易于显示病变的特征，对骨质破坏、骨膨胀、硬化缘、出血、骨间隔、钙化及软组织肿块等均能很好的显示。
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