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sparse bayesian model
Vertaling van "sparse bayesian model" in Chinees
稀疏贝叶斯模型
In this paper, we propose a new agent identification method by using a sparse Bayesian model.
本文我们提出一种采用稀疏贝叶斯模型的全新药剂识别方法。
A new agent identification method using a sparse Bayesian model has been introduced and investigated in this paper.
本文介绍和研究了一种使用稀疏贝叶斯模型的新药剂识别方法。
In Section II, the agent identification scheme using a sparse Bayesian model is described, along with a discussion on how to address the issue of signature mismatch.
在第二节，我们描述了使用稀疏贝叶斯模型的药剂识别，并讨论了如何解决特征不匹配的问题。
Using a sparse Bayesian model, our proposed method obtains an estimate of the abundance fraction vector with only a few nonzero entries, and the zero entries of the estimate can be interpreted as the absence of certain agents.
我们使用稀疏贝叶斯模型提出的方法，获得了只有几个非零实体的丰度值向量估计值，而估计值的零实体解释为缺乏某些药剂。
Index Terms-Agent identification, false alarm, linear mixture, mismatch, signature, sparse Bayesian model, spectral sensing.
索引术语 - 药剂识别、误报、线性混合、不匹配、签名、稀疏贝叶斯模型、光谱遥感。
In our numerical studies, the abundance fractions of agents are estimated by the following methods: the sparse Bayesian model (SBM) using the noninformative hyperprior and taking into account the nonnegativity of the abundance fractions, as described in Section II-D, the NCLS algorithm and the orthogonal matching pursuit (OMP) method.
在我们的数值研究中，使用以下方法估算药剂的丰度值：使用非信息超先验的稀疏贝叶斯模型 （SBM），考虑丰度值的非负性，如第II-D节，NCLS算法和正正交匹配追踪方法所述。
Therefore, in the following sections, we choose and in the sparse Bayesian model to estimate the abundance fraction vector.
因此，在下面的章节中，我们在系数贝叶斯模型中选择和估算丰度向量。
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