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- Probability Tree and Classical Probability Model 概率树与古典概率模型
- On Judge of Classical Probability Model 试谈古典概型的判断
- The Solution of Classical Probability Model 古典概率典型例与解法
- Talk about the Teaching of Classical Probability Model 谈谈古典概型的教学
- Desalinates the complex computation, explain classical probability model and geometry probability model detailed; 淡化复杂计算，领悟古典概型和几何概型的实质；
- Sufficient and Necessary Condition of Independence About Random Events in Classic Probability Model 古典概型中随机事件相互独立的充要条件
- The Relationship Between Independent Random Events and Prime Numbers in Classic Probability Model 古典概型中随机事件相互独立性与素数的关系
- 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。
- classical probability models 古典概型
- classical probability model 经典概度模型
- classic probability model 古典概型
- 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 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。
- The MEPDF was concluded just from the digital values of the sample, not from the assumption of classical probability distribution, which included the least subjective assumptions. 该方法直接根据样本的数字特征值进行推断，而不是先假设成经典的概率分布，包含最少的主观假定，具有更充分的数学和物理意义。
- 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。
- Being combined with propositional logic and classical probability theory，Probabilistic Argumentation Systems allows to judge open questions from a qualitative and quantitative point of view. 摘要 概率论据系统将命题逻辑与传统概率论相结合，可以对开放性问题作出定性或定量地判断。
- 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”。
- The experimental result shows that the performance of simple SLM-CIR model should be superior to simple vector space models and probability models. 实验结果表明:简单的SLM-CIR模型的性能要优于简单的向量空间模型和概率模型。
- The complexity and difficulty in proving equation or inequation are reduced effectively through establishing suitable probability models. 摘要通过构造适当的概率模型使得一些原本很难证明的等式或不等式的证明变得简单而容易。
