...概率建模；现代物流 [gap=1177]Keywords：radio frequency identification；collision；anti-collision detection；probabilistic modeling；modern ...
基于6个网页-相关网页
概率模型建立 Probability Modelling
A powerful approach to probabilistic modeling involves supplementing a set of observed variables with additional latent, or hidden, variables.
为观察变量找到相应的隐含变量是一种有效的概率建模的方法。
参考来源 - 线性与核高斯模型及其混合模型的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
为观察变量找到相应的隐含变量是一种有效的概率建模的方法。
A powerful approach to probabilistic modeling involves supplementing a set of observed variables with additional latent, or hidden, variables.
本文首先研究两种具有代表性的基于概率建模的标注算法，分别是共现模型和翻译模型。
This paper studies two representative annotation algorithms using probability models firstly. They are the Co-occurrence model and the Translation model.
针对目标综合识别过程中的复杂性和不确定性特点，利用贝叶斯网络融合模型对融合识别过程进行概率建模及推理。
For dealing with the complexity and uncertainty in the target identification fusion, the fusion model of Bayesian Networks is used.
应用推荐