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.
为了克服随机噪声对河流水质模型参数估计的干扰，提出了一种水质模型参数的鲁棒估计方法，即基于M -估计的信赖域算法。
In order to overcome the disturbance of noises, a robust identification method of water quality model parameters namely trust region algorithm based on M-estimation is proposed.
基于图像在小波域的马尔可夫随机场模型(MRF)结构，结合SAR图像中相干斑噪声的统计特性，本文提出了一种新的小波域相干斑抑制方法。
Integrating the statistical characteristics of speckle noise in SAR images with wavelet-domain Markov random field (MRF) structure of images, a new wavelet-domain spec.
这一方法将汉语语义角色标注从一个节点的分类问题转化为序列标注问题，我们使用了条件随机域这一模型，取得了较好的结果。
Based on the semantic chunking result, the Chinese SRL can be changed into a sequence labeling problem instead of the classification problem.
这一方法将汉语语义角色标注从一个节点的分类问题转化为序列标注问题，我们使用了条件随机域这一模型，取得了较好的结果。
Based on the semantic chunking result, the Chinese SRL can be changed into a sequence labeling problem instead of the classification problem.
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