本文提出一种在频率域内直接估计随机动态系统的连续时间模型参数的快速迭代算法。
In this paper, a direct procedure for estimating the parameters of a continuous-time model of a dynamical stochastic system is presented.
论文引入条件随机域建立词性标注模型，易于融合新的特征，并能解决标注偏置的问题。
So Conditional Random Field (CRF) is introduced to build POS tagging model in this paper, in order to overcome above problems.
在存在着随机粗糙和空间色散时，利用了一个数字模型研究表面激子极化激元的定域化。
A numerical model for investigating the localization of surface exciton polaritons in the presence of random roughness and spatial dispersion was established.
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