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排序方式: 共有1171条查询结果,搜索用时 31 毫秒
1.
张蕊 《济宁师范专科学校学报》2004,25(3):88-88,94
我国新收费政策出台后,财政预算外资金的支出结构发生较大变化,主要是执收单位事业发展的专项支出、业务费和弥补公用经费不足。深化财政支出制度改革,优化财政支出结构是财政部门正确管理预算外资金的重要保证。 相似文献
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金融衍生工具在利率风险管理中的应用 总被引:1,自引:0,他引:1
杨乔 《广州广播电视大学学报》2006,6(3):45-49
本文研究了金融衍生工具的信息特性与套期保值功能在利率风险管理中的应用。全文分为四部分,第一部分界定了金融衍生工具的概念。第二部分分析了金融衍生工具的信息特性及其在利率走势预测中的作用。第三部分分析了套期保值功能在利率风险管理中的作用。第四部分为金融衍生市场风险分析及对不同保值方案的定量分析。 相似文献
4.
周家瑜 《临沧师范高等专科学校学报》2006,(4)
毕业论文是培养学生综合应用专业知识分析和解决工作实践中的具体问题的重要的实践性教学环节。开放教育金融本科学员的毕业论文质量存在诸多问题,原因不仅有学员自身的,也包括指导教师、办学单位和试点教学管理等方面的,因而要提高开放教育金融本科毕业论文质量,必须从全方位入手。 相似文献
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Extramural funding to support communication research influences and is influenced by the culture of our discipline, universities, and departments. Both the National Communication Association and the International Communication Association have established closer ties to funding agencies and encouraged members' grant writing pursuits through mentorship and convention programs, newsletter columns, and publicity. Universities vary in how much support they have available as infrastructure to assist in the submission and administration of grants. Some institutions facilitate extramural funding endeavors through mentoring programs, university-wide research centers, sharing of indirect costs, and space. Department cultures, too, vary in the resources available to support grants. Departments in many ways have the most direct effects on grant-supporting cultures. In addition to activities indicated for the discipline and university, departments can build a grant culture by recognizing grant writing in their personnel practices, creating systems for rewarding and supporting grant activities, and having policies in place for the many related issues (e.g., release time, indirect cost sharing, research assistants). Finally, the interpersonal culture, whether colleagues recognize and support grants, plays a major role in individual pursuit of, and satisfaction with, seeking extramural funding to support communication research. 相似文献
6.
本文以“五邑大学财务管理”为例,着重阐述了“高校财务管理系统”的设计原则与实现方法,以及各子系统的功能。 相似文献
7.
Katherine I. Miller - Katherine Miller is a Professor Director of Graduate Studies in the 《Journal of Applied Communication Research》2008,36(1):8-32
There is growing interest in the role of emotion when considering communication in the workplace. This work has most often considered workers in front-line service positions in investigations of emotional labor, and human service workers in investigations of empathy and emotional work. In this study, we consider processes of both emotional labor and emotional work in the financial planning profession. Financial planners occupy a role requiring ongoing relationships with clients, conversations about the often emotional topic of money, and a need to manage emotion in a variety of interaction contexts. Thus, from extant theory and literature regarding emotion and communication, we proposed research questions regarding the roles of emotional labor and emotional work in the financial planning profession. These questions were investigated in a web-based survey study of almost 300 professional financial planners and supporting interviews with 14 financial planners. Results indicate support for existing theory on emotional work, extensions to current research regarding emotional labor, and important implications for the role of emotion and communication in a range of professional service roles. 相似文献
8.
施洁斌 《现代图书情报技术》2004,20(7):27-29
提出了将支持向量机应用于文本自动分类的研究,与常用的K-最邻近法相比,无论是对训练数据集还是测试数据集均具有一定的优势,而且不同特征选择方法对支持向量机的影响要比K-最邻近法小。此外,从研究中的不同特征选择的评价函数来看,它们对分类有一定的影响,应用X2统计进行特征选择的分类正确率最高,其次是文本证据权,而期望交叉熵的效果最差,说明特征选择在文本自动分类中也是相当重要的。 相似文献
9.
基于机器学习的自动文本分类模型研究 总被引:2,自引:0,他引:2
基于机器学习的方法是自动文本分类中非常重要的一大类方法。本文先给出了形式化的定义,提出了自动文本分类的流程模型,然后选取了支持向量机(Support Vector Machine,SVM)算法作为一个典型例子进行分析,最后作者通过一个中文文本分类实验评价了该算法的效果。 相似文献
10.
Question classification systems play an important role in question answering systems and can be used in a wide range of other domains. The goal of question classification is to accurately assign labels to questions based on expected answer type. Most approaches in the past have relied on matching questions against hand-crafted rules. However, rules require laborious effort to create and often suffer from being too specific. Statistical question classification methods overcome these issues by employing machine learning techniques. We empirically show that a statistical approach is robust and achieves good performance on three diverse data sets with little or no hand tuning. Furthermore, we examine the role different syntactic and semantic features have on performance. We find that semantic features tend to increase performance more than purely syntactic features. Finally, we analyze common causes of misclassification error and provide insight into ways they may be overcome. 相似文献