它使用有限的上下文统计建模技术，混合了多个顺序固定的上下文模型，预测输入序列中的下一个字符。
It USES a finite context statistical modeling technique that blends together several fixed-order context models to predict the next character in the input sequence.
描述性统计和对数线性模型用来识别与自费分娩费用相关的因素。
Descriptive statistics and log-linear models were used to identify factors associated with out-of-pocket expenditure on delivery.
统计应用程序或总结信息的任何应用程序都可以从中获益，因为它们的数据模型只需计算总计而无需复制整个文档。
Statistical applications, and any application that summarizes information, benefit because their data model is reduced to running totals as opposed to a copy of the entire document.
所使用的统计模型旨在计算流感病毒在特定人群中广泛传播期间发生的所谓超额死亡率。
They use statistical models designed to calculate so-called excess mortality that occurs during the period when influenza viruses are circulating widely in a given population.
这个job使用了一个统计模型来预测两个人认识的概率。
This job uses a statistical model to predict the probability of two people knowing each other.
该模型格式是基于EclipseModelingFramework (emf)并且设计成利用XML存储统计数据的一般方法。
This model format is based on the Eclipse Modeling Framework (EMF) and is designed to be a generic method of storing statistical data using XML.
例如，NLTK有一个完整的框架，用于通过类似于“naiveBayesian”和“maximumentropy”等模型的统计技术进行文本分类。
For example, NLTK has a whole framework for text classification using statistical techniques like "naive Bayesian" and "maximum entropy" models.
随着对每个事件(统计数据点)的观测，这些事件被匆忙地转换为TPTPStatistical模型事件。
As each event (a statistical data point) is observed, it is transformed into a TPTP statistical model event on-the-fly.
posts和comments控制器将使用words模型来保存处理后的单词统计。
The posts and comments controllers will use the words model to save the word counts after they've been processed.
这个模型可用于两个目的：首先，可以从这个模型提取信息，以洞察哪些是心脏病的重要指标以及其他统计信息。
It can be used for two purposes. First, you can extract information from this model to gain insight into which are the important indicators of heart diseases and other statistical information.
数据模型中的关键元素是一组统计信息，该统计信息收集了有关数据库中所包含的数据和系统目录表中所存储的数据的信息。
A key element in the data model is the set of statistics gathered about the data contained in the database and stored in the system catalog tables.
所以统计专家所做的，基本上就是研究过去在公司违约和股价的相关性，并编程设计出模型来推定当前相同模式下的情况。
So what the statisticians did, essentially, was to study past correlations in corporate default and equity prices and program their models to assume the same pattern in the present.
虽然字数统计示例对于大量的问题是有用且适用的，但是其他的模型仍然在此总体框架内适用。
The word count example is useful and applicable to a large number of problems, but other models still fit within this general framework.
例如，没有哪种统计模型可以准确无误地描述你收得的所有电子邮件中的合法邮件，而标记其余的为垃圾邮件。
No statistical model, for example, can describe with perfect accuracy all the e-mails you might legitimately receive, while labeling the rest as spam.
但是，令人吃惊的是，当依据这些公式用计算机模拟出模型时，大多数女性认为这的确是理想的统计。
But astonishingly, when shown computer mock-ups of the female form based on these equations, most women agree that they are indeed the ideal vital statistics.
但是这项新的研究使用的统计模型与模拟地球气候的传统模型有很大的不同。它提供了解释目前温度上升停滞现象的另外一种途径。
But the new study, which USES statistical models that are very different from the models traditionally used to simulate the Earth's climate, offers an alternative way of explaining the apparent halt.
这通常是定期实行的，同时也是要用到计量和统计模型的地方。
This is typically done on a periodic basis, and is where the meter and accounting model comes in.
不过，他应付有方，已经研究出一套数学模型来解释第二位数的分布，将统计上的疑异置于更充裕的分析基础上。
However, he has managed to develop a mathematical model that explains the distribution of the second digits, putting what might appear to be a statistical oddity on a more solid footing.
换句话说，宏观的热力学性质可以，从微观模型，的统计力学得到。
So in other words, macroscopic thermodynamic properties come straight out of our microscopic model of statistical mechanics.
各种文本分类方法可以生成不同类型的 “模型”，即对真实环境的统计学描述。
Various text classification methodologies may yield different types of "models," or statistical descriptions of the world.
基于这些不同的因素，该模型可以和商业规则、客户人口统计数据和历史购买模式和选择结合起来使用，以制定更明智的决策。
Based on these various factors, this model can be combined with business rules, customer demographics, and historical buying patterns and choices to make intelligent decisions.
基于这些不同的因素，该模型可以和商业规则、客户人口统计数据和历史购买模式和选择结合起来使用，以制定更明智的决策。
Based on these various factors, this model can be combined with business rules, customer demographics, and historical buying patterns and choices to make intelligent decisions.
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