parameter training 参数训练
However, the classification accuracy of SVM is significantly affected by its training parameter.
然而，支持向量机训练参数的选择对其分类精度有着很大的影响。
With a proper network training parameter, 100% correctness can be obtained by using Takagi-Sugeno fuzzy system.
选用适当的网络训练参数，正确率可达到100%。
This text systematically introduces the definition of CRFs, structure of the CRFs model, feature functions, parameter estimate and training methods.
本文系统的介绍了条件随机场的定义、模型结构、特征函数、参数估计及其训练方法等。
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