Since the feature of the meta-information classification keywords is sparse and the distributing of sample is unbalanced, this thesis considered the factor of data skew based on LS-VSM.
该方法首先通过在加权最小二乘 支持向量机的基础上加入对数据偏斜的处理，解决了元 信息 分类时关键词特征稀疏和样本高度不均衡问题；
The skew load factor (SKL) takes into account tolerances in sling lengths and stiffness properties of the lifted object.
偏心荷载系数依据不同的吊缆长度及起吊物刚度取值。
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