在线辅导基本要素

该文是作者在英国进修期间对在线辅导所做的一些研究,它主要阐述了在线辅导的一些基本概念,分析了在线学习的学习支持以及教学策略,最后提出了具体的实施方法。希望以此向从事在线教学的教师提供一些有价值的参考。     

Creating a departmental culture for communication grants

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.     

基于语义联想的中文图像搜索引擎——构想与实验*

在分析了目前主流中文图像搜索引擎研究和开发的优点和缺点基础上，结合实际开发经验，提出一个基于语义联想的中文图像搜索引擎的构想。在图像内容信息表示上充分利用相关的文本信息。系统通过分析用户的检索行为记录，自动发现词间关系，并用知识库的方式来组织和存储图像信息，达到语义联想的功能。     

图像数字化整合技术应用研究

系统地总结和研究了图像数字化技术应用的新成果和经验,探讨了图像数字化加工过程中诸多环节的关键技术问题,并较为具体地给出了解决的方案.参考文献3.     

从危机管理过程谈图书馆形象塑造

从危机管理的危机形成阶段、危机爆发阶段、危机持续继续阶段等三个过程入手,论述现代图书馆在面临危机时如何塑造自身的良好形象,从而提高综合竞争力。     

基于支持向量机的文本自动分类试验研究

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。     

镜像服务器在我馆的应用

本文论述了镜像服务器的功能和特点,并介绍了其在本馆电子阅览室中的应用及使用方法。     

图像信息及其处理技术的内容和特点分析

数字图像的常见类型有:黑白二值图类型、灰度类型、彩色类型。大多数图像处理软件所支持的图像类型为黑白类型、灰度类型、索引类型、真彩色类型。计算机图像处理技术有4个特点:综合性强,计算精度不断提高,灵活性强,与通信理论密切相关。参考文献3。     

基于机器学习的自动文本分类模型研究

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。     

Analysis of Statistical Question Classification for Fact-Based Questions

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.