基于价值性和独特性双纬度的人力资本分类研究     

姚立根  刘涛 《科技与管理》2007,9(4):105-107

为了激励不同类型的人力资本，提出了基于价值性和独特性双纬度的人力资本分类方法，并在此基础上建立了人力资本分类评价指标体系；通过实例研究证明了该指标体系的可行性。新的分类方法的提出对于科学有效地激励不同类型的人力资本，合理配置使用人力资本，进而影响组织价值具有重要意义。  相似文献   

一种图片分类的序列构造神经网络方法     

王仁武  陈家训 《情报科学》2007,25(11):1692-1695

针对图片数据的分类问题，从动态构造网络的思想出发，讨论了序列构造神经网络的基本方法，并且把其应用于图片分类中。最后给出标准测试集的分类测试结果，并对其进行了比对、分析和讨论。实验结果表明此方法适合多维数据分析，取得了满意的效果。  相似文献   

Automatic indexing of online health resources for a French quality controlled gateway     

Aurélie Névéol  Alexandrina Rogozan  Stéfan Darmoni 《Information processing & management》2006

The profusion of online resources calls for tools and methods to help Internet users find precisely what they are looking for. Quality controlled gateway CISMeF provides such services for health resources. However, the human cost of maintaining and updating the catalogue are increasingly high. This paper presents the automatic indexing system currently developed in the CISMeF team to be used as such for preliminary indexing, or after human reviewing for the final indexing. The system architecture, using the INTEX platform for MeSH term extraction is detailed. The results of a first evaluation tend to indicate that the automatic indexing strategy is relevant, as it achieves a precision comparable to that of other existing operational systems. Moreover, the system presented in this paper retrieves keyword/qualifier pairs as opposed to single terms, therefore providing a significantly more precise indexing. Further development and tests will be carried out in order to improve the coverage of the dictionaries, and validate the efficiency of the system in the indexers’ everyday work.  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   

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   

高新技术产业开发区空间集聚分类的SOM模型及应用   总被引：1，自引：0，他引：1  

吴玉鸣 《科学学与科学技术管理》2006,27(2):98-102

高新技术产业开发区在我国区域经济创新体系中具有核心地位,其空间分布及集聚模式对区域经济空间规划与布局决策支持具有重要作用.从空间集聚分类的角度,实证研究了我国国家级高新技术产业开发区的空间分布格局及集聚模式,提出了在高新区的空间集聚分类研究中应用基于自组织特征映射的神经网络SOM模型.  相似文献   

文本知识的自动分类方法初探     

范宇中  张玉峰 《情报科学》2003,21(1):103-105

本文结合运用信息管理和人工智能的原理与技术，探讨了文本知识的自动分类方法，包括：自动归类与聚类方法、基于实例的学习分类方法和基于特征值的元学习方法。  相似文献   

广东外向型经济发展的地域差异与对策   总被引：4，自引：0，他引：4  

谢守红 《软科学》2003,17(3):41-44,51

广东是我国改革开放的先行省份,外向型经济发展迅速,但地区发展很不平衡。本文分析了广东省外向型经济发展的地域差异特征及形成原因,并对全省21个市外向型经济总量规模和发展水平进行比较和分类。在此基础上,提出了不同类型地区外向型经济发展的对策。  相似文献   

A hybrid generative/discriminative approach to text classification with additional information     

Akinori Fujino  Naonori Ueda  Kazumi Saito 《Information processing & management》2007

This paper presents a classifier for text data samples consisting of main text and additional components, such as Web pages and technical papers. We focus on multiclass and single-labeled text classification problems and design the classifier based on a hybrid composed of probabilistic generative and discriminative approaches. Our formulation considers individual component generative models and constructs the classifier by combining these trained models based on the maximum entropy principle. We use naive Bayes models as the component generative models for the main text and additional components such as titles, links, and authors, so that we can apply our formulation to document and Web page classification problems. Our experimental results for four test collections confirmed that our hybrid approach effectively combined main text and additional components and thus improved classification performance.  相似文献   

Abstractive headline generation using WIDL-expressions     

R. Soricut  D. Marcu 《Information processing & management》2007,43(6):1536

We present a new paradigm for the automatic creation of document headlines that is based on direct transformation of relevant textual information into well-formed textual output. Starting from an input document, we automatically create compact representations of weighted finite sets of strings, called WIDL-expressions, which encode the most important topics in the document. A generic natural language generation engine performs the headline generation task, driven by both statistical knowledge encapsulated in WIDL-expressions (representing topic biases induced by the input document) and statistical knowledge encapsulated in language models (representing biases induced by the target language). Our evaluation shows similar performance in quality with a state-of-the-art, extractive approach to headline generation, and significant improvements in quality over previously proposed solutions to abstractive headline generation.  相似文献