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- An Overall Conditional Probability Model of Feature Reasoning in Uncertain Categorization 归类不确定情景下特征推理的综合条件概率模型
- Conditional probability model for dynamic fatigue reliability of offshore structures considering inspection and repair 考虑检修的结构动态疲劳可靠性条件概率模型
- A probability model in which each event depends upon the previous event. 一种概率模型,其中每一事件取决于前面的事件。
- conditional probability model 条件概率模型
- A probability model in which each event depends ?upon? the previous event. 一种概率模型,其中每一事件取决于前面的事件。
- A belief network is a probability model defined on an acyclic directed graph; distributed means nodes can be on different hosts, and heterogeneous means allowing different conditional distributions. 一个信念网络是定义在一个非循环有向图上的概率模型;分布性指节点可以在不同的主机上,异质性指可以允许不同的条件分布。
- A probability model in which each event depends uponthe previous event. 一种概率模型,其中每一事件取决于前面的事件。
- A neural network model based on Gaussian Mixture Models has been devised by Dirk Husmeier in 1997 in order to predict the conditional probability densities. Dirk Husmeier于1997年设计了一个基于高斯混合模型(简称GM模型)的神经网络用来预测概率密度。
- Hence, the conditional probability of thyroid cancer in a patient with multinodular goiter with a delayed washout pattern was 0.78 (11/14 patients). 甲状腺癌在多发性甲状腺节结具有造影增强的延后消退的影像的的条件概率是0.;78(14人中有11人表现)。
- The strategy is realized placidly and easily, without the computation of conditional probability in each step. 该策略不需要每一步计算条件概率,其实现平稳方便。
- Compared with the vector space model, the probability model is more effective on describing a users interests. 对比实验表明,概率模型比矢量空间模型更好地表达了用户的兴趣和变化。
- The seawall fault tree is the system in series, and the key to the fault tree is the solution to conditional probability P (B/A). 海塘失效概率树为串联概率树,而条件概率尸(B/A)解求是串联概率树要解决的关键问题,为此提出了假定条件概率近似符合正态分布,然后做积分变换推求条件概率的思路;
- Secondly confirm the life probability model of each failure mode by the fuzzy general judgment method. 然后基于模糊综合评判方法确定各态失效寿命概率模型。
- Specifically, I decided to use trigrams for my probability model rather than "words". 我明确地决定,我的概率模型使用三元模型,而不是“单词”。
- Methods To establish the probability model and explained their relationship by graphs. 方法建立概率模型并用图形说明它们之间的关系。
- PROBABILITY MODEL OF STRONG EARTHQUAKE RECURRENCE AND PREDICTION FOR FUTURE EARTHQUAKE SITE IN MIDDLE -EASTERN SEGMENT OF QILIAN MT. 祁连山中东段强震复发概率模型及未来强震地点预测。
- A method is presented for use in establishing probability model of seismic intensity attenuation in regions with abundant data of isoseismal maps. 本文在考虑地震烈度评定和预测的不确定性的基础上,提出建立烈度衰减概率模型的方法。
- Bayesian Networks (BN), which was made up of Directed Acyclic Graph(DAG) and Conditional Probability Table(CPT) , is also called as Belief Networks. DAG is composed with nodes and its pathway. Node is the symbol of variable. 贝叶斯网络(BN),又称为信度网,由一个有向无环图(Directed Acyclic Graph,DAG)和条件概率表(Conditional Probability Table,CPT)组成。
- Implication connectives which are compatible with classical two-valued logic were defined, and they overcome the shortcoming that conditional probability can not be used to inference. 定义了与经典二值逻辑相容的蕴涵联结词,克服了条件概率不能用于推理的缺点。
- Then the paper also builds multi-order context adaptive probability model, which enables the shortened coded character almost approach its entropy rate. 建立了基于上下文的多阶自适应的概率模型,使其符号的压缩码长尽量的接近其熵值。