joint probability distribution中文是什么意思

• 联合分布
• 联合概率分布
• 连接概率分布

• joint    n. 1.接合，榫接合处，接合点。 2.【解剖学】关节。 ...
• probability    n. 1.或有；或然性。 2.【哲学】盖然性〔在 cer ...
• distribution    n. 1.分配，分发，配给；分配装置[系统]；配给品；配 ...
• joint probability distribution function    联合概率分布函数
• distribution probability    分布概率
• probability distribution    概率分布; 机率分布; 机率分配; 几率分布
• joint probability    单个概率; 接合概率; 联合概率; 联合机率
• joint distribution    共同配送; 联合分布; 联合分配; 连合分布
• amplitude probability distribution    振概率分布
• binomial distribution probability    二项式分布概率
• binomial probability distribution    二项概率分布; 二项式概率分布
• bivariate probability distribution    二元概率分布
• conditional probability distribution    条件概率分布
• continuous probability distribution    连续概率分布
• convolution of probability distribution    概率分布的卷积; 概率分布的招积; 概率分布的褶积; 概率分布卷积
• cpd cumulative probability distribution    累积概率分布
• cumulative probability distribution    累计概率分配
• defective probability distribution    缺损概率分布
• discrete probability distribution    间断机率分布; 离散概率分布
• equilibrium probability distribution    平衡概率分布
• exponential probability distribution    指数概率分布
• failure-probability distribution    失效概率分布
• first probability distribution    第一概率分布
• fuzzy probability distribution    模糊概率分布
• gaussian probability distribution    高斯概率分布

• Joint probability distribution
  联合概率分布
• Bn is network structure with clarity semantics . lt exploits the structure of the domain to allow a compact representation of complex joint probability distribution . its sound probabilistic semantics , explicit encoding of relevance relationships , inference algorithms and learning algorithms that are fairly efficient and effective in pratice , and decision - making mechanism of facility , have led bn to enter the artificial intelligence ( ai ) mainstream . for the reasons that they have produced more and more practical values and economic profits in many important application fields , such as modern expert systems , diagnosis engines , decision support systems , and data mining systems , researchers from both industry and academia are thus taking them much seriously
  它具有清晰语义的网络结构；它揭示领域对象的内在结构，是复杂全概率分布的紧凑表示方式；其坚实的理论基础、知识结构的自然表述方式、灵活的推理能力、方便的决策机制及有效的学习能力使其成为一种主要的不确定知识的处理方法。贝叶斯网络已经在专家系统、决策支持系统、数据挖掘系统和范例推理系统等许多重要领域产生应用价值和经济效益。

• joint probability distributionとは意味：joint probability distribution 同時(確率)分布[その他]〈99Z8101-1:統計―用語と記号―第1部: 確率及び一般統計用語〉