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外研版(三起)(2012)小学英语五年级下册Module 4 Unit 2 We can find information from...Module 4 Unit 2 We can find information from...课件
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一、课程名称:信息管理学Information Management 二、学时与学分:54学时,3学分 三、适用专业:信息管理与信息系统专业 四、课程教材:
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Introduction Beginning with this lecture, we focus our attention on dynamic games. The majority of games of economic interest feature some dynamic component, and most often payoff uncertainty as The analysis of extensive games is challenging in several ways. At the most basic level describing the possible sequences of events(choices) which define a particular game form is not problematic per se; yet, different formal definitions have been proposed, each with its Representing the players information as the play unfolds is nontrivial: to some extent
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Chapter One Transition to Modern Information Science Unit3 Part 1 Notes to Text Part 2 Word Study Part5 Notes to Passage Part3 Practice on Text Part6 Practice on Passage Part4 Extensive Reading
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Class: Tue-Thu 10: 40-12: 10 [?] Room 317, Bendheim. OH, by appointment. The Big Picture Most of you will already have used some of the tools of GT in your core courses. You will probably be familiar with the notions of simultaneous us. extensive-form game, perfect vs. imperfect information, complete us. incomplete information, Nash
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针对分类数据, 通过数据对象在属性值上的集中程度定义了新的基于属性值集中度的类内相似度(similarity based on concentration of attribute values, CONC), 用于衡量聚类结果中类内各数据对象之间的相似度; 通过不同类的特征属性值的差异程度定义了基于强度向量差异的类间差异度(dissimilarity based on discrepancy of SVs, DCRP), 用于衡量两个类之间的差异度.基于CONC和DCRP提出了新的分类数据聚类有效性内部评价指标(clustering validation based on concentration of attribute values, CVC), 它具有以下3个特点: (1)在评价每个类内相似度时, 不仅依靠类内各数据对象的特征, 还考虑了整个数据集的信息; (2)采用几个特征属性值的差异评价两个类的差异度, 确保评价过程不丢失有效的聚类信息, 同时可以消除噪音的影响; (3)在评价类内相似度及类间差异度时, 消除了数据对象个数对评价过程的影响.采用加州大学欧文分校提出的用于机器学习的数据库(UCI)进行实验, 将CVC与类别效用(category utility, CU)指标、基于主观因素的分类数据指标(categorical data clustering with subjective factors, CDCS)指标和基于信息熵的内部评价指标(information entropy, IE)等内部评价指标进行对比, 通过外部评价指标标准交互信息(normalized mutual information, NMI)验证内部评价效果.实验表明相对其他内部评价指标, CVC指标可以更有效地评价聚类结果.此外, CVC指标相对于NMI指标, 不需要数据集以外的信息, 更具实用性
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1.Understand the uses and limitations of an income statement. 2.Prepare a single-step income statement. 3.Prepare a multiple-step income statement. 4.Explain how to report irregular items. 5.Explain intraperiod tax allocation. 6.Identify where to report earnings per share information. 7.Prepare a retained earnings statement. 8.Explain how to report other comprehensive income
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1.Describe the usefulness of a conceptual framework. 2.Describe the FASB's efforts to construct a conceptual framework. 3.Understand the objectives of financial reporting. 4.Identify the qualitative characteristics of accounting information. 5.Define the basic elements of financial statements. 6.Describe the basic assumptions of accounting. 7.Explain the application of the basic principles of accounting. 8.Describe the impact that constraints have on reporting accounting information
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《情报科学原理 Principles of Information Science(PIS)》课程PPT教学课件:Chapter 1 An Outline of Information Science
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《情报科学原理 Principles of Information Science(PIS)》课程PPT教学课件:Chapter 9 Information Organization - System Optimization Theory
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