priors

英 [ˈpraɪəz]

美 [ˈpraɪərz]

n.  (小隐修院)院长; (隐修院)会长，副院长
prior的复数

柯林斯词典

• ADJ 先前的；在前的；在先的
  You usepriorto indicate that something has already happened, or must happen, before another event takes place.
  1. He claimed he had no prior knowledge of the protest...
     他声称自己事先并不知道这次抗议的事。
  2. The Constitution requires the president to seek the prior approval of Congress for military action...
     宪法规定总统在采取军事行动之前必须获得国会同意。
  3. For the prior year, they reported net income of $1.1 million.
     他们公布上一年度纯收入为110万美元。
• ADJ （所有权、责任）更重要的，优先的
  Apriorclaim or duty is more important than other claims or duties and needs to be dealt with first.
  1. The firm I wanted to use had prior commitments.
     我想选用的这家公司已有约在先。
• 小修道院院长；大修道院副院长
  Aprioris a monk who is in charge of a priory or a monk who is the second most important person in a monastery.
• PREP-PHRASE 在…之前；先于
  If something happensprior toa particular time or event, it happens before that time or event.
  1. Prior to his Japan trip, he went to New York...
     在去日本之前，他去了纽约。
  2. A man seen hanging around the area prior to the shooting could have been involved.
     在枪杀案发生之前，有人目睹一位男子在这附近游荡，该男子可能与此案有关。

双语例句

• Geometric Active Contour Model with Color and Intensity Priors for Medical Image Segmentation
  融合颜色和强度先验信息的几何形变模型在医学图像分割中的应用
• Different from the methods mentioned above, a set of training co-occurrence priors between low-and high-resolution image patches are employed in the learning-based methods.
  不同于前面提到的两种方法，大量的低分辨率和高分辨率图像块之间的先验信息被应用到基于学习的超分辨率方法中。
• No priors, nothing funky going on with his business.
  没有前科，他的生意也没有问题。
• This paper reviewed the Bayesian robustness of classes of ε-contaminated priors. The criteria for measuring its robustness are kullback-leibler divergence of the posterior distribution for the classes of-contaminated priors and it's curvature.
  考查了ε-代换类先验的贝叶斯稳健性，衡量其稳健与否的标准是先验为ε-代换类的后验分布的kullbackleibler散度和它的曲率。
• Motivated by these challenges in Bayesian nonparametrics, we try to estimate the prior parameters of several process priors under an empirical Bayes framework with different data structures: univariate data, multivariate data, even monotone missing data.
  为了解决贝叶斯非参数统计中这些问题和挑战，基于经验贝叶斯的框架和几种不同的数据结构：一元数据，多元数据和单调缺失数据，我们尝试分别对几类过程先验中的参数进行估计。
• The results of simulation show that the conclusion under noninformative priors can be explained according to the frequentist view.
  仿真结果表明，无信息验前下的评估结论可以很好地用频率学派的观点来解释。
• Her lowlife brother, he's got three priors, one for armed robbery.
  她老弟有三次前科，一次是持械抢劫。
• If two people have the same priors, and their posteriors for an event A are common knowledge, then these posteriors are equal.
  如果两个人有一样的先验，和在一件事上由常识得出的后验，则这两个后验会是等价的。
• At the commencement, we give the definition and prove several theoretical properties of multivariate Polya tree priors, accompanied with data structure and model assumptions.
  首先我们给出多元Polyatree先验的定义和理论性质，然后提出相应的数据结构和模型假设。
• Then a new method merging area information and edge information, geometric deformable model with color and intensity priors for medical image segmentation, is proposed.
  在此基础上提出了一种混合区域信息和边界信息的方法&基于融合颜色和强度先验信息的几何可变模型的医学图像分割算法。