... 线性微分方程的振荡解 oscillatory solution of linear differential equation 线性维数 linear dimension 线性伪度量空间 linear pseudometric space ...
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原始的非线性维数约减算法是无监督的，不能直接用于模式识别。
The original nonlinear dimensionality reduction algorithms are non-supervised, which can't directly be applied in pattern recognition.
最后通过线性参变控制，获得了用有限维数线性矩阵不等式描述的充分条件。
A sufficient condition is obtained using finite dimension linear matrix inequalities (LMI) describing by linear (parameter-variety) control.
在线性规划支撑矢量机中，对其VC维数界作了适当的放宽。
In linear programming linear SVMs, the bound of the VC dimension is loosened properly.
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