2) Bayesian theorem
贝叶斯定理
1.
Based on Bayesian theorem energy function for protein structure prediction;
基于贝叶斯定理的势能函数应用于蛋白质结构预测
2.
Bayesian epistemology is a theory of knowledge that developed from Bayesian theorem (i.
贝叶斯认识论是以18世纪英国长老会牧师贝叶斯(Thomas Bayes,1702—1761)所提出的贝叶斯定理(即P(h|e)=P(e|h)P(h)/P(e))为基础,再加上简单规则(即一个人得到辩护地相信假说h,当且仅当h的概率非常高)而发展起来的一种认识论理论。
3) Bayes theorem
贝叶斯定理
1.
The research of the real-word errors check mainly depends on some specific confusion sets and as well as Bayes theorem.
真词错误检查主要是利用贝叶斯定理,并通过建立一些特定的混淆集的方法来实现。
2.
On the basis of analyzing the classification principle of Bayesian classification model and a variant of Bayes theorem, a new classification model based on Bayes theorem, DLBAN (double-level Bayesian network augmented naive Bayes), which adds the dependence among attributes by selecting the ke.
通过分析贝叶斯分类模型的分类原则以及贝叶斯定理的变异形式,提出了一种基于贝叶斯定理的新的分类模型DLBAN(double-level Bayesian network augmented naive Bayes)。
3.
According to Bayes theorem,a new method can be got in data diagnosis-grading method.
根据贝叶斯定理，给出数值诊断的一种新方法——评分法。
4) Bayes theory
贝叶斯定理
1.
To improve the current situation that analysis of motion vector is still too general,a novel reliability analysis method of motion vector based on the posteriori probability of motion vectors from Bayes theory is described to gain more visual and quantitative analysis of motion vector field.
为了改善目前对于运动矢量分析还较笼统的现状,获得对运动矢量场更为直观和定量的分析,运用贝叶斯定理,设计一种新型的基于运动矢量后验概率计算的矢量可靠性分析算法。
2.
The application of Bayes theory in law cases can otter certain help to the accuracy of the cases by the research on this theory.
通过研究贝叶斯定理在审案中的应用,对提高审案的正确性提供一定的帮助。
5) rough sets Bayes theorem
粗集贝叶斯定理
1.
The work introduced rough sets Bayes theorem and a combining rough sets reduction method.
为了对不完备信息进行有效识别,引入粗集贝叶斯定理,结合粗集约简识别方法,建立基于粗糙集的最小错误率贝叶斯决策准则,归纳出不完备信息模式的一种统计意义上的识别方法。
6) Na(?)ve Bayes Theorem
朴素贝叶斯定理
补充资料：贝叶
【贝叶】
（物名）贝多罗叶也。印度之人以写经文。慈恩寺传三曰：“经三月安居中集三藏讫，书之贝叶，方遍流通。”唯识枢要上本曰：“虽文具传于贝叶，而义不备于一本。”(参见：贝多罗)
（物名）贝多罗叶也。印度之人以写经文。慈恩寺传三曰：“经三月安居中集三藏讫，书之贝叶，方遍流通。”唯识枢要上本曰：“虽文具传于贝叶，而义不备于一本。”(参见：贝多罗)
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条