论文本课程与教师对教学过程的控制   总被引：1，自引：0，他引：1  

林培英 《首都师范大学学报(社会科学版)》2002,(5):105-111

在中学课程的微观层次上 ,文本课程与教师都对教学过程有一定的控制作用。这种控制作用 ,从空间结构的角度分析 ,表现为课程线性结构与非线性结构 ;从教学信息流的角度分析 ,表现为课程信息流的集中控制结构与非集中控制结构。不同的控制形式对课程的影响各有利弊 ,并有各自的形成原因  相似文献   

基于粗集的支持向量机文本分类方法研究   总被引：1，自引：0，他引：1  

崔彩霞  王素格 《科技广场》2006,(8):4-6

本文提出了一种基于粗糙集的支持向量机文本分类方法。该方法利用粗糙集的约简理论降低了支持向量的维数,同时保证了分类性能。实验表明该方法能获得较好的分类效果。  相似文献   

Blood zinc protoporphyrin, serum total protein, and total cholesterol levels in automobile workshop workers in relation to lead toxicity: Our experience     

Suneesh Kumar Pachathundikandi  Earaly Thomas Varghese 《Indian journal of clinical biochemistry : IJCB》2006,21(2):114-117

Blood zinc protoporphyrin (ZPP), serum total protein (TP), and total cholesterol (TC) levels in automobile workshop workers in relation to lead toxicity were analysed. In the present study, automobile workshop workers (healthy male workers at an age between 28 and 35 from four major automobile workshops in Kottayam, Kerala State, India) and the control (male healthy adults at an age between 28 and 35 residing at Aymanam, a distant village at Kottayam District, Kerala having reduced or no chance of lead exposure) displayed significant difference in blood lead (BPb) and blood ZZP (BZPP) level. The mean value of BPb in automobile workshop workers was 15.76±0.33 μg/dl, while in the control it was 8.20±0.15 μg/dl. In automobile workshop workers, the mean value of BZPP was 34.2±0.62 μg/dl. The control group exhibited a mean of 11.5±0.22 μg/dl. Automobile workshop workers exhibited significant increase in BZPP was corresponding to the increase in BPb level. The total protein levels estimated in automobile workshop workers showed significant decrease compared to control individuals, but was within the reference range of healthy individuals. The mean value of TP level in automobile workshop workers and control was 6.9±0.13 g/dl and 7.71±0.18 g/dl, respectively. There was no significant difference in blood haemoglobin (BHb) level among the automobile workshop workers and control. The serum TC level in automobile workshop workers showed significant decrease compared to the control individuals, but was with in the reference range of healthy individuals. The mean level of serum TC in automobile workshop workers was 162.00±3.44 mg/dl and the same in control was 172.86±4.32 mg/dl. The present study affirms occupational lead toxicity in automobile workshop workers and its effect on serum protein and cholesterol levels.  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   

Application of machine learning techniques to assess the trends and alignment of the funded research output     

《Journal of Informetrics》2020,14(2):101018

Research and development activities are regarded as one of the most influencing factors of the future of a country. Large investments in research can yield a tremendous outcome in terms of a country’s overall wealth and strength. However, public financial resources of countries are often limited which calls for a wise and targeted investment. Scientific publications are considered as one of the main outputs of research investment. Although the general trend of scientific publications is increasing, a detailed analysis is required to monitor the research trends and assess whether they are in line with the top research priorities of the country. Such focused monitoring can shed light on scientific activities evolution as well as the formation of new research areas, thus helping governments to adjust priorities, if required. But monitoring the output of the funded research manually is not only very expensive and difficult, it is also subjective. Using structural topic models, in this paper we evaluated the trends in academic research performed by federally funded Canadian researchers during the time-frame of 2000–2018, covering more than 140,000 research publications. The proposed approach makes it possible to objectively and systematically monitor research projects, or any other set of documents related to research activities such as funding proposals, at large-scale. Our results confirm the accordance between the performed federally funded research projects and the top research priorities of Canada.  相似文献   

A new unsupervised method for document clustering by using WordNet lexical and conceptual relations     

Diego Reforgiato Recupero 《Information Retrieval》2007,10(6):563-579

Text document clustering provides an effective and intuitive navigation mechanism to organize a large amount of retrieval results by grouping documents in a small number of meaningful classes. Many well-known methods of text clustering make use of a long list of words as vector space which is often unsatisfactory for a couple of reasons: first, it keeps the dimensionality of the data very high, and second, it ignores important relationships between terms like synonyms or antonyms. Our unsupervised method solves both problems by using ANNIE and WordNet lexical categories and WordNet ontology in order to create a well structured document vector space whose low dimensionality allows common clustering algorithms to perform well. For the clustering step we have chosen the bisecting k-means and the Multipole tree, a modified version of the Antipole tree data structure for, respectively, their accuracy and speed.

Diego Reforgiato RecuperoEmail:

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Extending WHIRL with background knowledge for improved text classification     

Sarah Zelikovitz  William W. Cohen  Haym Hirsh 《Information Retrieval》2007,10(1):35-67

Intelligent use of the many diverse forms of data available on the Internet requires new tools for managing and manipulating heterogeneous forms of information. This paper uses WHIRL, an extension of relational databases that can manipulate textual data using statistical similarity measures developed by the information retrieval community. We show that although WHIRL is designed for more general similarity-based reasoning tasks, it is competitive with mature systems designed explicitly for inductive classification. In particular, WHIRL is well suited for combining different sources of knowledge in the classification process. We show on a diverse set of tasks that the use of appropriate sets of unlabeled background knowledge often decreases error rates, particularly if the number of examples or the size of the strings in the training set is small. This is especially useful when labeling text is a labor-intensive job and when there is a large amount of information available about a particular problem on the World Wide Web.

Haym HirshEmail:

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论冰雪摄影     

武建国 《湖北广播电视大学学报》2011,31(5):89-90

在冰天雪地、滴水成冰的严寒深冬里,如何才能得到一幅完美的冰雪摄影佳作,关键是如何正确测光,如何正确曝光,这些都是决定拍摄成败的关键。  相似文献   

马克思主义哲学视角下的语篇语言学     

刘淼 《牡丹江教育学院学报》2011,(1):30-31

语篇语言学又称话语语言学,兴起于20世纪70年代,是现代语言学的重要分支之一,它的诞生与发展,使语言学的研究脱离了形式一逻辑的固有模式,从语言的本质出发去研究语言的基本规律。语言学的这个进步,反映了语言学家们从哲学层面对语言的重新审视,不再把语言看作是一成不变的形式化的内容,而是从语言作为人类的交际手段这一基本属性的角度来研究语言本身。从马克思主义哲学的视角来审视语篇语言学的诞生、研究对象和研究方法,无疑能够更好地探究语篇语言学的哲学基础。  相似文献   

Social media opinion summarization using emotion cognition and convolutional neural networks     

《International Journal of Information Management》2020

Quickly and accurately summarizing representative opinions is a key step for assessing microblog sentiments. The Ortony-Clore-Collins (OCC) model of emotion can offer a rule-based emotion export mechanism. In this paper, we propose an OCC model and a Convolutional Neural Network (CNN) based opinion summarization method for Chinese microblogging systems. We test the proposed method using real world microblog data. We then compare the accuracy of manual sentiment annotation to the accuracy using our OCC-based sentiment classification rule library. Experimental results from analyzing three real-world microblog datasets demonstrate the efficacy of our proposed method. Our study highlights the potential of combining emotion cognition with deep learning in sentiment analysis of social media data.  相似文献