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using a sparse bayesian model

Examples with "using a sparse bayesian model" and their translation in Chinees

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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。
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。
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。

Andere resultaten

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。
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。
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。
Bayesian Revision - This lets you to "flip" one or more chance nodes in a model in order to show probabilities calculated using Bayes' Rule.
贝叶斯修正 - 这样您就可以通过"翻转"模型中的一个或多个机会节点来显示使用贝叶斯法则计算出的概率。
situation-dependent information extraction, using Bayesian networks, statistical analyses, and hidden Markov models to extract meaning and context from complex and cluttered data streams drawn from very disparate sensors that are not temporally or spatially matched
与态势有关的信息提取。利用贝叶斯网络、统计分析和隐马尔可夫模型,从时空完全不匹配的离散传感器上获得的杂乱数据流中提取意义和关系
The prevalence of high- and low-intensity infection and associated 95% credible intervals (CrIs) were predicted using Bayesian geostatistical models.
利用贝叶斯地理统计模型预测重度和轻度感染的流行程度以及相关的95%置信区间。
The Word Sense Disambiguation (WSD) study based on large scale real world corpus is performed using an unsupervised learning algorithm based on DGA improved Bayesian Model.
采用基于依存分析改进贝叶斯网络的无指导的机器学习方法对汉语大规模真实文本进行词义消歧实验。
Compared with the Bayesian model using the Laplacian prior and the -norm constrained minimization (5), which have to tune some parameters during estimation, the Bayesian model using the noninformative hyperprior can estimate all the parameters automatically.
贝叶斯模型相比,使用拉普拉斯先验和规范约束最小化(5),必须在估算过程中调整一些参数,使用非信息超先验的贝叶斯模型可以自动估算所有参数。
The Division extended its methodological work on family planning using a Bayesian hierarchical model combined with country-specific time trends and produced a unique, publicly available set of long-term estimates and projections of contraceptive prevalence, unmet need for family planning, total demand for family planning and percentage of demand for family planning that is satisfied among married or in-union women from 1970 to 2030.
人口司使用贝叶斯分级模型并结合具体国家的时间趋势,在关于计划生育的方法方面进行了工作拓展,并产生了关于下列各项的一套独特、可公开获得的长期估计和预测:避孕药具普及率、未满足的计划生育需求、计划生育需求总量以及1970年至2030年已婚或已结合妇女中计划生育需求得到满足的百分比。
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