排序方式： 共有276条查询结果，搜索用时 513 毫秒
101.
本文认为,电子证据在证据类型上应作为一种独立的证据类型;在证明力上应赋予其直接证据和原始证据的效力;在证据的审查判断方面应从真实性、关联性、客观性等方面进行严格的审查。 相似文献
102.
本文是以Web文本信息和Web语义处理为背景,从理论及应用两个层次对教学资源库资源编目方法进行了较为深入的研究,实现教学资源的自动摘要和智能编目,同时分析了关于构造分类字典和教育语义网的构想。 相似文献
103.
谭晓春 《安徽教育学院学报》2006,24(2):114-117
小提琴协奏曲是小提琴音乐中的一种重要体裁,在其近四百年的形成、沿革和发展中,欧洲各国音乐家、小提琴家创作了大量优秀的小提琴协奏曲,使得小提琴协奏曲不仅数量丰富,难易俱全,而且风格各异,所以要在教学中作分类运用。 相似文献
104.
潘震 《荆州师范学院学报》2007,30(2):92-93
框架词语的存在，就是为了将相关的认知框架知识提供给交际中的参与者，激活相关的认知语境，同时完成对框架的范畴化。在使用语言的过程中，交际者在具体语境中如何使用已范畴化的相关词语来构建和应用框架，并建立起一个相关联的认知框架结构网络，是一个值得探讨的问题. 相似文献
105.
张智博 《黑龙江教育学院学报》2012,31(10):132-133
范畴化理论作为认知语言学概念的基础,近年来逐渐受到了语言学家的重视。完整的范畴化理论由范畴化与非范畴化构成。语法范畴等词类概念在现代语言学中已被广泛接受和认可,各种语法理论都利用"名词"、"动词"和"形容词"等范畴来建立自己的理论模式。英语中任何词类范畴都能互相转化。而且词类范畴也有典型成员和非典型成员之分。范畴化理论可以用于英语教学并对英语词类转化有一定的解释力。 相似文献
106.
改进TF-IDF算法的文本特征项权值计算方法 总被引：4，自引：0，他引：4
首先,从特征项重要性和类别区分能力的角度出发,通过分析传统的权重函数TF-IDF(term frequency-inverse document frequency)及其相关改进算法,研究文本分类中向量化时的特征权重计算,构建权重修正函数TW。其次,通过对特征词的卡方分布和TW作对比实验,验证TW能提高类别中专有词汇的权值,降低常见但对分类不重要的特征的权值。最后,将TW与TF-IDF结合作为新的特征权重算法,通过在中文分类语料库上的实际分类实验,与其他权重算法比较,验证此种算法的有效性。 相似文献
107.
This paper proposes new modified methods for back propagation neural networks and uses semantic feature space to improve categorization performance and efficiency. The standard back propagation neural network (BPNN) has the drawbacks of slow learning and getting trapped in local minima, leading to a network with poor performance and efficiency. In this paper, we propose two methods to modify the standard BPNN and adopt the semantic feature space (SFS) method to reduce the number of dimensions as well as construct latent semantics between terms. The experimental results show that the modified methods enhanced the performance of the standard BPNN and were more efficient than the standard BPNN. The SFS method cannot only greatly reduce the dimensionality, but also enhances performance and can therefore be used to further improve text categorization systems precisely and efficiently. 相似文献
108.
陈世阳 《河北体育学院学报》2015,29(4):9-12
开展体育外交是现实发展的产物和要求：体育外交是外交领域和外交主体扩展的产物;体育外交在国家对外交流中发挥着独特作用;开展体育外交是现代体育自身发展的需要。既有的体育外交概念已不能反映形势的变化和体育对外交流需要,从体育外交的主体和对象、体育外交的分类、体育外交的轨道、体育外交的主题和宗旨几个方面,对体育外交概念进行了重新界定 相似文献
109.
Text categorization is an important research area and has been receiving much attention due to the growth of the on-line information and of Internet. Automated text categorization is generally cast as a multi-class classification problem. Much of previous work focused on binary document classification problems. Support vector machines (SVMs) excel in binary classification, but the elegant theory behind large-margin hyperplane cannot be easily extended to multi-class text classification. In addition, the training time and scaling are also important concerns. On the other hand, other techniques naturally extensible to handle multi-class classification are generally not as accurate as SVM. This paper presents a simple and efficient solution to multi-class text categorization. Classification problems are first formulated as optimization via discriminant analysis. Text categorization is then cast as the problem of finding coordinate transformations that reflects the inherent similarity from the data. While most of the previous approaches decompose a multi-class classification problem into multiple independent binary classification tasks, the proposed approach enables direct multi-class classification. By using generalized singular value decomposition (GSVD), a coordinate transformation that reflects the inherent class structure indicated by the generalized singular values is identified. Extensive experiments demonstrate the efficiency and effectiveness of the proposed approach. 相似文献
110.
Chenn-Jung Huang Shun-Chih Chang Heng-Ming Chen Jhe-Hao Tseng Sheng-Yuan Chien 《Interactive Learning Environments》2016,24(7):1408-1427
Structured argumentation support environments have been built and used in scientific discourse in the literature. However, to the best our knowledge, there is no research work in the literature examining whether student’s knowledge has grown during learning activities with asynchronous argumentation. In this work, an intelligent computer-supported collaborative argumentation-based learning platform that detects whether the learners address the expected discussion issues is proposed. After each learner presents an argument, a term weighting method is adopted to derive input parameters of a one-class support vector machines classifier which determines if the learners’ arguments are related to the discussion topics. Notably, a peer review mechanism is established to improve the quality of the classifier. Besides, a feedback module is used to issue feedback messages to the learners if the learners have gone off on a tangent. The experimental results revealed that the students were benefited by the proposed learning-assistance platform. 相似文献