基于超文本结构的智能计算机辅助教学系统

文中参照认知信息处理模型提出建立以超文本结构为基础的ＩＣＡＩ系统的方法．为了增强控制的灵活性，系统建立了教学知识的分层模型（实体级、概念级和单元级）及其在概念级上的三种链接（控制链、浏览链和固定链）．同时定义期望值以表示教学知识的重要程度，使得系统能够自动地确定学习的重点，从而对教学参数进行调整．  

用Naive Bayes方法协调分类Web网页

WWW上的信息极大丰富,如何从巨量的信息中有效地发现有用的信息,是亟待解决的问题,而Web网页的正确分类正是其中的核心问题.针对超文本结构中的结构特征,提出了用NaiveBayes方法协调分别利用超文本页面中的文本信息和结构信息进行分类的方法.经实验验证,与只用单种方法对超文本进行分类的方法相比,综合分类法有效地提高了分类的正确率.  

基于LabVIEW的数据采集系统的实现

阐述了开放式虚拟仪器平台LabVIEW的特点，并介绍了在该平台上使用普通数据采集卡进行数据采集的动态连接库的设计方法。在此基础上开发了一个由计算机控制的数据采集系统，并对电动汽车电机电枢电流、车轮速度以及车身速度等信号进行了实际采集。实验证明采用这种方法省去了复杂的语言编程，缩短了软件的开发时间，简化了开发过程，同时也增加了应用的灵活性。  

ICAI与超文本的综合集成

文中分析了智能计算机辅助教学（ＩＣＡＩ）和超文本的问题。从智能综合集成的思路出发，认为ＩＣＡＩ系统的自主性是不现实的，现实的ＩＣＡＩ系统应该是人机协作、能充分调动学生智能的ＩＣＡＩ系统。提出利用ＩＣＡＩ与超文本的互补性将两者综合集成，建立一个基于超文本的ＩＣＡＩ系统（ＨＩＣＡＩ），以提供良好的学习环境，促进ＩＣＡＩ系统实用化。  

A Study of Approaches to Hypertext Categorization

Hypertext poses new research challenges for text classification. Hyperlinks, HTML tags, category labels distributed over linked documents, and meta data extracted from related Web sites all provide rich information for classifying hypertext documents. How to appropriately represent that information and automatically learn statistical patterns for solving hypertext classification problems is an open question. This paper seeks a principled approach to providing the answers. Specifically, we define five hypertext regularities which may (or may not) hold in a particular application domain, and whose presence (or absence) may significantly influence the optimal design of a classifier. Using three hypertext datasets and three well-known learning algorithms (Naive Bayes, Nearest Neighbor, and First Order Inductive Learner), we examine these regularities in different domains, and compare alternative ways to exploit them. Our results show that the identification of hypertext regularities in the data and the selection of appropriate representations for hypertext in particular domains are crucial, but seldom obvious, in real-world problems. We find that adding the words in the linked neighborhood to the page having those links (both inlinks and outlinks) were helpful for all our classifiers on one data set, but more harmful than helpful for two out of the three classifiers on the remaining datasets. We also observed that extracting meta data from related Web sites was extremely useful for improving classification accuracy in some of those domains. Finally, the relative performance of the classifiers being tested provided insights into their strengths and limitations for solving classification problems involving diverse and often noisy Web pages.  

Methods and techniques of adaptive hypermedia

Adaptive hypermedia is a new direction of research within the area of adaptive and user model-based interfaces. Adaptive hypermedia (AH) systems build a model of the individual user and apply it for adaptation to that user, for example, to adapt the content of a hypermedia page to the user's knowledge and goals, or to suggest the most relevant links to follow. AH systems are used now in several application areas where the hyperspace is reasonably large and where a hypermedia application is expected to be used by individuals with different goals, knowledge and backgrounds. This paper is a review of existing work on adaptive hypermedia. The paper is centered around a set of identified methods and techniques of AH. It introduces several dimensions of classification of AH systems, methods and techniques and describes the most important of them.  

知识点及其网络的特性分析

优化CAI(computer assisted instruction)课件设计中的超文本知识库,是提高课件质量的关键之一.首先给出知识点结构和知识点网络结构的数学描述;然后分析网络层次分划,给出先学备用和即学即用的并进网络遍历路线以及单进网络遍历路线;接着介绍知识点网络简化算法,以达到节省存储空间和便于操作的目的;最后综述利用网络特性优化CAI超文本知识库.  

一种基于向量空间模型的文本分类方法

介绍的文本分类是指在给定分类体系下，根据文本的内容自动确定文本类别的过程。通过分析网页的特点及因特网用户感兴趣的查询信息，提出了一种基于机器学习的、独立于语种的文本分类模型。这一模型的关键算法主要利用字间的相关信息、词频、页面的标记信息以及对用户的查询信息的浅层语义分析，提取网页特征，并计算可调的词频加权参数和增加特征词的可分性信息，然后通过本类和非本类训练，建立预定义类的特征向量空间，进一步对文本进行分类。这种分类方法在相似文本分类中具有明显的优势。  

一种LabWindows/CVI与MATLAB混合编程的实现方法

Labwindows／CVI是一套面向测控领域的优秀软件开发平台；MATLAB具有强大的数据处理函数库和多样且简易的绘图方法。本文提出的修改LabWindows／CVI和MATLAB的ActiveX服务函数，并进行封装、建立动态连接库的方法．为用户实现Labwindows／CVI共享MATLAB的软件工具包．拓宽LabWindows／CVI在测控领域的应用．提高编程效率提供了有益的帮助。文末给出了LabWindows／CVI和MATLAB混合编程的实例。  

VC与MATLAB混合编程之DLL实现方法

文章首先论证了VC和TATLAB各自的优缺点，然后提出了VC与MATLAB混合编程的几种方法，并详细阐述了如何通过动态链接库（DLL）实现二者的结合。重点突出了如何在MATLAB生成动态链接库封装开发好的算法，以及如何在VC的集成开发环境中调用DLL。该方法充分发挥了VC与MATLAB的优势，为科学研究和工程技术提供了更强的技术支持。