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识别进口摩托车上的英文标记
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作者 天之 《摩托车信息》 2002年第9期22-22,共1页
随着我国摩托车的日益普及,一些进口车也开始进入寻常百姓家,为便于广大摩托车用户识别进口车上的英文标记,现作简要介绍。进口摩托车在操纵机件和燃油箱等部位上常有英文标记,知道这些含义和使用方法很有必要。
关键词 进口摩托车 英文标记 车辆识别 英文字母 中国 摩托车市场
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JP86《财富》邮资片有两种型式
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作者 孙成熙 《上海集邮》 2000年第6期25-25,共1页
1999年的JP86《1999<财富>全球论坛·上海》邮资片,在高倍放大镜下研究胶版印刷网纹,至少可分两种型式。以中国集邮总公司供预订户片为A型,淄博邮局出售片为B型,两者局部网点比较如下(见图):
关键词 《财富》 邮资片 印刷网纹 英文标记
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Discourse Markers and Pragmatic Inference 被引量:1
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作者 WANG Yun 《Sino-US English Teaching》 2007年第4期50-54,共5页
Discourse markers have been studied within the relevance theoretical framework in this paper. According to relevance theory, every act of ostensive communication communicates a presumption of its own optimal relevance... Discourse markers have been studied within the relevance theoretical framework in this paper. According to relevance theory, every act of ostensive communication communicates a presumption of its own optimal relevance. The communicator, who is aiming at optimal relevance, must direct the audience to a particular set of assumptions by using discourse markers. Whereas, from the audience's point of view, discourse markers can minimize his contextual assumptions in looking for relevance, thus the pragmatic inferential process will be much easier. 展开更多
关键词 discourse markers Relevance Theory optimal relevance pragmatic constraints contextual effects
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论即兴伴奏配置中和弦标记的对比
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作者 林荟慧 《艺术教育》 2015年第3期177-178,共2页
在为简谱配置和声时,标记和弦是不可省略的重要部分。和弦标记有许多种类,而各种和弦标记也有着不同的特点。文章试通过对几种常见的简谱和弦标记法来进行分析和比较,从而使我们能在即兴伴奏的教学和实践中,根据不同的需要,更合理、科... 在为简谱配置和声时,标记和弦是不可省略的重要部分。和弦标记有许多种类,而各种和弦标记也有着不同的特点。文章试通过对几种常见的简谱和弦标记法来进行分析和比较,从而使我们能在即兴伴奏的教学和实践中,根据不同的需要,更合理、科学地使用和弦标记。 展开更多
关键词 和弦标记 罗马数字标记 英文字母标记 混合数字标记
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Regularized canonical correlation analysis with unlabeled data 被引量:1
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作者 Xi-chuan ZHOU Hai-bin SHEN 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2009年第4期504-511,共8页
In standard canonical correlation analysis (CCA), the data from definite datasets are used to estimate their canonical correlation. In real applications, for example in bilingual text retrieval, it may have a great po... In standard canonical correlation analysis (CCA), the data from definite datasets are used to estimate their canonical correlation. In real applications, for example in bilingual text retrieval, it may have a great portion of data that we do not know which set it belongs to. This part of data is called unlabeled data, while the rest from definite datasets is called labeled data. We propose a novel method called regularized canonical correlation analysis (RCCA), which makes use of both labeled and unlabeled samples. Specifically, we learn to approximate canonical correlation as if all data were labeled. Then, we describe a generalization of RCCA for the multi-set situation. Experiments on four real world datasets, Yeast, Cloud, Iris, and Haberman, demonstrate that, by incorporating the unlabeled data points, the accuracy of correlation coefficients can be improved by over 30%. 展开更多
关键词 Canonical correlation analysis (CCA) REGULARIZATION Unlabeled data Generalized canonical correlation analysis(GCCA)
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