Player i is rational\;R=nieN Ri. Also, Bi(E) is the event \Player i is certain that E is true\ and B(E)=neN Bi(E). This is as in Lecture 7. Let me introduce the following notation for iterated mutual certainty: B()(E)=E B()(E)=B(B-I)(E)). Then the definition of Bk in Lecture 7 can be rewritten as Bk

对复合添加少量Sn和Sb或Sn和Bi的低碳高硫易切削钢做了切削和高温热塑性实验.结果表明:试样在长时间的高速切削条件下刀具后刀面磨损很小,其易切削性能明显优于SAE1215钢.含Sn和Sb的钢样在750~950℃温度范围内塑性较差,在1050~1300℃范围内具有良好的塑性.扫描电镜及能谱分析表明:钢中Sn和Sb元素在晶界、MnS夹杂物内及MnS边界处均存在;大部分的Bi元素附着在MnS夹杂物上,一部分弥散分布在钢的基体中;钢中MnS夹杂主要呈球状和纺锤状

Recall the following definitions: in any model M=(Q, (Ti, ai, piie), Ri is the event Player i is rational\;R=nieN Ri. Also, Bi(E) is the event \Player i is certain that E is true\ and B(E)=neN Bi(E). This is as in Lecture

中药材质量标准 中文名血竭 汉语拼音 Xuejie 英文名 SANGUIS DRAXONIS 来源本品为棕榈科植物麒麟竭 Daemonorops draco BI果实渗出的树脂经加工制成 性状本品略呈类圆四方形或方砖形,表面暗红粉,有光泽,附有因摩擦而成的红粉

1 The Number-Picking Game Here is a game that you and I could play that reveals a strange property of expectation. 3, First, you think of a probability density function on the natural numbers. Your distri- bution can be absolutely anything you like. For example, you might choose a uniform distribution on 1, 2, ... 6, like the outcome of a fair die roll. Or you might choose a bi- probability, provided that,...,n. You can even give every natural number a non-zero nomial distribution on 0, 1 he sum of all probabilities is 1

一、商务智能与ERP的关系 二、商务智能 三、蓬天商务智能解决方案－－iPerception

《复合材料 Composites》课程教学资源（学习资料）第五章 陶瓷基复合材料_1Co-extrusion of Al2O3 Co-extrusion of Al2O3/ZrO2 bi-phase high temperature ceramics with fine scale aligned microstructures

• 流程基础 • 流程智能 • BI在流程管理中的应用

2.1 Understand the nature of data as it relates to business intelligence (BI) and analytics 2.2 Learn the methods used to make real-world data analytics ready 2.3 Describe statistical modeling and its relationship to business analytics 2.4 Learn about descriptive and inferential statistics 2.5 Define business reporting, and understand its historical evolution

简述了钢铁冶金尘泥现有的处理工艺，具体介绍了回转窑工艺、Oxycup工艺、转底炉工艺。钢铁冶金尘泥目前的处理工艺主要停留在尘泥资源化回收利用的前3个阶段，往往只针对含量较高的部分元素进行分离回收。钢铁产业集聚区的尘泥除了含有 Fe、Zn、Pb、K、Na 等元素，还富集了大量 In、Bi、Sn、Cd等具有高附加值的稀散元素，是宝贵的有价资源。随着国家环保法规和产业政策的要求，钢铁冶金尘泥已经到了必须100%全部回收利用的新阶段。鉴于此，提出了根据各自的成分特征进行基于产品设计的各种尘泥间的协同搭配、单元技术间的科学耦合和系统集成，实现多组分梯级分离和全量利用的技术方案，希望能够为钢铁企业冶金尘泥的全量资源化利用提供参考