HMM is a typical generative model. ME and CRF both belong to conditional model.
HMM是产生式模型的典型代表，ME和CRF属于条件概率模型。
A conditional adaptation can be provided by a rule engine invoking rules at appropriate situations, based on a user model.
一个可以依据用户模型在适当情况下调用规则的规则引擎就可以实现这样的条件适应。
The WS-BPEL representation of the process (Figure 2), is similar to the business model in that there are steps which are wired together, along with conditional branching logic.
流程的WS - BPEL表示形式(请参见图2)与业务模型类似，因为存在连接在一起的步骤以及条件分支逻辑。
Much of the expressiveness comes from there being tags for conditional logic, dynamically changing the input model, and controlling the flow of execution.
表现力大多源于存在条件逻辑、动态更改输入模型和控制执行流的标签。
It offers ways to support conditional processing, automatic linking and link checking, and a powerful reuse model.
它提供了一种支持条件处理、自动化链接和链接检查的方法，还有一个强大的复用模型。
You run all tests against the Presentation Model because it contains the conditional logic and a hold place for the state that changes as a result of executing it.
针对PresentationModel运行所有测试，因为Presentation Model包含有条件的逻辑和一个储存随执行而更改的状态的空间。
Conditional Random Fields (CRF) is arbitrary undirected graphical model that bring together the best of generative models and Maximum Entropy Markov models (MEMM).
条件随机场是一种无向图模型，它具有产生式模型和最大熵马尔可夫模型的优点。
So Conditional Random Field (CRF) is introduced to build POS tagging model in this paper, in order to overcome above problems.
论文引入条件随机域建立词性标注模型，易于融合新的特征，并能解决标注偏置的问题。
This paper proves the elasticity of China's exchange market under interference after the Asian financial crisis by adopting Autoregressive Conditional Heteroscedasticity (ARCH) model.
本文通过自回归条件异方差(ARCH)模型证明了亚洲金融危机后中国汇市在干预下的弹性。
OBJECTIVE: To introduce the mental model theory and probabilistic theory with their disputation and tradeoff in conditional inference domain.
目的：介绍条件推理领域心理模型理论与概率理论以及它们之间的争论与融合。
Based on the analysis of the relationship between safety and reliability, a model for aircraft safety analysis is established from the viewpoint of conditional probability.
在分析飞机安全性与可靠性关系的基础上，从条件概率的角度，建立了一种新的飞机安全性分析模型。
The model allows multi cycled operations and conditional branches.
该模型允许多周期操作和条件分支。
Frequent volatility is a feature of stock market. Autoregressive Conditional Heteroscedasticity (ARCH) model is often used to forecast the variance of the benefit of financial capitals.
股票价格的频繁波动是股票市场最明显的特征之一，自回归条件异方差类模型可以很好地预测金融资产收益率的方差。
This paper intends to extend risk model with disturbance by using random time transformation firstly, and then study the conditional ruin probability of the risk model.
本文首先利用随机时刻变换推广了一类带干扰的风险模型，然后讨论这类风险模型的条件破产概率。
A novel PNN model with training algorithms is proposed for class conditional density estimation.
提出了一种新的类条件密度函数估计的PNN模型及其算法。
A conditional expression model, in which the target gene is deleted in the presence of a tetracycline derivative, was used to delete the VEGF gene from podocytes.
一个有条件的表达模型用来从足突细胞中删除VEGF基因，在四环素衍生物的出现下靶基因被删除。
Moreover, the conditional stochastic decomposition results of model are shown.
同时，论证了模型的条件随机分解结果。
The generalized autoregressive conditional heteroscedasticity (GARCH) model has the ability to describe the volatility of time series.
广义自回归条件异方差(GARCH)模型具有描述时间序列波动性的能力。
The results supported the authors' overall conditional probability model of prediction features.
实验结果支持作者提出的预测特征综合条件概率模型。
The turnover was used to measure the trading volume which was analyzed using the Autoregressive- Generalized Autoregressive Conditional Heteroskedasticity (AR- GARCH) model.
以市场换手率度量交易量，采用自回归广义自回归条件异方差（AR-GARCH）模型研究了中国股市交易量的时间系列。
This paper deals with the statistical inference of an autoregressive conditional heteroscedasticity (ARCH) model under restriction.
研究序约束条件下自回归条件异方差（ARCH）模型的统计推断。
High-level ARCH effect is certification in the BDI logarithm process by ARCH LM test, GARCH(1,1)model is used to eliminate the conditional heteroscedasticity.
通过ARCHLM检验认为BD I对数序列存在高阶ARCH效应，并用GARCH（1，1）模型消除残差序列的条件异方差性。
The conditional assumptions and the mathematical expression of this model are presented and the physical and physicochemical parameters in polymer flood taken into consideration are discussed.
给出了该模型的假设条件和基本数学式，讨论了纳入该模型的聚合物驱物理物化参数。
Because the nonparametric ACD model does not rely on the functional form of (conditional) mean value and the error distribution form, it has more typical implication.
非参数ACD模型不依赖条件均值的函数形式和误差项的分布形式，更具有一般意义。
This paper builds a conditional two-factor measure model, and proves the efficiency of this model using panel data regression skill. The samples are 54 Chinese close-end funds.
基于此，本文构建了条件双因子评价模型，并且以中国全部54只封闭式基金为样本采用面板数据回归技巧验证了该模型的有效性。
The spectral parameters were predicted using the conditional probabilistic distribution function based on the pitch and were modified synchronizingly with the pitch using the sinusoidal model.
频谱参数的预测公式由各基频下的条件概率密度函数导出，频谱参数的修改通过正弦模型实现。
A double forecasting model is proposed by using conditional mathematical expectation, based on probability distribution of port cargo throughput.
在得出港口货物吞吐量概率分布的基础上，利用条件数学期望提出了港口货物吞吐量的双层预测模型。
A model for common cause failure probability was derived based on the distribution of the conditional failure probability of components.
推导了基于零件条件失效概率分布的共因失效概率模型；
This thesis is composed of two sections in which we discuss generalized spectral density test of conditional autoregressive heteroscedasticity for threshold autoregressive model.
本文分两节对门限自回归模型中自回归条件异方差的广义谱密度检验进行了讨论。在第一节中，我们介绍了广义谱密度检验。
Research based on combination of high frequency data with Auto-regressive Conditional Duration (ACD) Model shows that ACD model can successfully describe the intensity of bargaining arrival.
结合高频数据和自回归条件持续性（ACD）模型进行的研究表明：在中国市场，自回归条件持续性模型可以成功用来衡量交易到达的强度。
应用推荐