但是，从一致性方面来看，只提供收敛一致性。

However, from a consistency perspective, only convergent consistency is given.

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支持向量机(SVM)是一种新的通用学习机器，它从结构风险最小化的角度，分析了学习过程的一致性、收敛速度等。

Support vector machine (SVM) is a new general learning machine, which analyzes the consistency of learning and speed of convergence from structure risk minimization principle.

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不仅提高了团划分算法求解功能单元分配问题的计算结果一致性，而且使算法的收敛速度得以提高。

The consistency of the allocation result and the convergence speed of clique partition algorithm can be improved greatly by the heuristic method.

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