高职院校院、系设置研究     

柴福洪 《十堰职业技术学院学报》2007,20(2):6-9

高职教育是高教新类,其专业设置的起点是文化体系的分类,具体到高职院校的应用,首先是院、系设置,因为它涉及分类问题。普通高教是知识文化体系,按学科分类,按学科不同层次设置院、系;高职教育是技术文化体系,只能按产业、行业和部门设置院、系。对社会产业、行业、部门和职业的分类有很多种,可供我们借鉴的有《国家职业分类标准(代码)》和《中华人民共和国职业分类大典》,虽然不能直接引用,但可以按它的行业大类作为高职教育的总分类,再依行业、部门实际,以及教学需要逐层分解下去,给高职教育院、系设置提供依据,也为高职教育专业设置提供理论支持。本文依据这一逻辑思路,研究出我国高职教育的行业大、中、小类分类目录,以及适用于高校院系设置的管理学理论。并试以黄冈职业技术学院为例,对该院的系、部设置,提出了一套调整方案。  相似文献   

湖南兰科兰属植物的研究     

赵运林 《湘潭师范学院学报(社会科学版)》1992,(6)

湖南兰属植物有7种、2变种和众多的栽培品种。其中3种为中国特有种,它们是蕙兰(Cymbidium faberi)、寒兰(C.kanran)和多花兰(C.floribundum);3种为湖南新记录种,即蕙兰、墨兰(C.sinense)和兔耳兰(C.lancifolium)。本文对湖南兰属植物的分类,地理分布和区系特点等进行了研究。  相似文献   

使役性言语行为醒示语分析     

李军  宋燕妮 《暨南大学华文学院学报》2004,(4):58-63

本文将醒示语分为称呼语和提醒语两类,认为醒示语具有拉近或推远交际双方之间的社会关系及情感距离、提高或降低尊崇的等级、调节醒示与恳请的强度等语用调节作用.醒示语的选用受使役的内容、使役的场合及交际双方之间的关系等因素的影响.醒示语的正式程度往往与使役要求的正式与严肃程度、场合的正式与紧迫程度、发受话双方之间的权势和距离差成正比.  相似文献   

国外网上两类分类浏览系统信息标引、用户定位及功能的比较研究   总被引：1，自引：0，他引：1  

崔艳华 《现代情报》2005,25(8):173-174

本论文从网络信息资源的组织出发，对国外网上使用文献分类法的分类系统与自编分类系统在信息标引、用户定位及功能方面的不同进行了粗浅的比较研究。  相似文献   

Improving the learning of Boolean queries by means of a multiobjective IQBE evolutionary algorithm     

O. Cordón  E. Herrera-Viedma  M. Luque 《Information processing & management》2006

The Inductive Query By Example (IQBE) paradigm allows a system to automatically derive queries for a specific Information Retrieval System (IRS). Classic IRSs based on this paradigm [Smith, M., & Smith, M. (1997). The use of genetic programming to build Boolean queries for text retrieval through relevance feedback. Journal of Information Science, 23(6), 423–431] generate a single solution (Boolean query) in each run, that with the best fitness value, which is usually based on a weighted combination of the basic performance criteria, precision and recall.  相似文献   

现代科学体系的立体结构:一体两翼——关于“科学分类”问题的新探讨   总被引：6，自引：1，他引：6  

陈文化  胡桂香  李迎春 《科学学研究》2002,20(6):566-570

本文在总结前人研究工作的基础上 ,以自然—人—社会的演化次序为客观基础 ,将科学分为自然科学、人文科学和社会科学三大门类 ,并构建了现代科学体系———以人文科学为主体、自然科学和社会科学为两翼的立体结构。同时也论证了人文科学的性质、地位和作用 ,以及科学融为一体等问题。  相似文献   

Optimization of some factors affecting the performance of query expansion     

Young Mee Chung  Jae Yun Lee 《Information processing & management》2004,40(6):29

This paper examines the factors affecting the performance of global query expansion based on term co-occurrence data and suggests a way to maximize the retrieval effectiveness. Major parameters to be optimized through experiments are term similarity measure and the weighting scheme of additional terms. The evaluation of four similarity measures tested in query expansion reveal that mutual information and Yule's Y, which emphasize low frequency terms, achieve better performance than cosine and Jaccard coefficients that have the reverse tendency. In the evaluation of three weighting schemes, similarity weight performs well only with short queries, whereas fixed weights of approximately 0.5 and similarity rank weights were effective with queries of any length. Furthermore, the optimal similarity rank weight achieving the best overall performance seems to be the least affected by test collections and the number of additional terms. For the efficiency of retrieval, the number of additional terms needs not exceed 70 in our test collections, but the optimal number may vary according to the characteristics of the similarity measure employed.  相似文献   

基于三变量函数的计算机辅助逻辑综合     

厉晓华  朱敏  陈偕雄 《科技通报》2006,22(1):101-104

本文讨论了逻辑函数的分类，在查表综合的基础上，用计算机辅助来实现三变量函数的基于一位全加器、通用逻辑门、通用阈值逻辑门的逻辑综合。  相似文献   

Parsimonious translation models for information retrieval     

Seung-Hoon Na  In-Su KangJong-Hyeok Lee 《Information processing & management》2007

In the KL divergence framework, the extended language modeling approach has a critical problem of estimating a query model, which is the probabilistic model that encodes the user’s information need. For query expansion in initial retrieval, the translation model had been proposed to involve term co-occurrence statistics. However, the translation model was difficult to apply, because the term co-occurrence statistics must be constructed in the offline time. Especially in a large collection, constructing such a large matrix of term co-occurrences statistics prohibitively increases time and space complexity. In addition, reliable retrieval performance cannot be guaranteed because the translation model may comprise noisy non-topical terms in documents. To resolve these problems, this paper investigates an effective method to construct co-occurrence statistics and eliminate noisy terms by employing a parsimonious translation model. The parsimonious translation model is a compact version of a translation model that can reduce the number of terms containing non-zero probabilities by eliminating non-topical terms in documents. Through experimentation on seven different test collections, we show that the query model estimated from the parsimonious translation model significantly outperforms not only the baseline language modeling, but also the non-parsimonious models.  相似文献   

自动分类在搜索引擎性能优化中的应用   总被引：9，自引：0，他引：9  

曹树金  杨涛 《情报科学》2004,22(2):213-219

本文论述了自动分类在搜索引擎中的作用,介绍了网页自动分类实现的方法,分析了网络自动分类系统的实例,最后展望了自动分类在搜索引擎中的应用前景.  相似文献