abstract algorithm造句

• abstract algorithms that are type-independent are good candidates for generic types
  独立于类型的抽象算法非常适用于泛型类型。
• It is followed by the video abstracting algorithm that takes advantage of audio content analysis and classification
  然后本文探讨了声音分析和分类算法，同时给出了动态视频摘要生成算法。
• The proposal of abstract algorithm may make the designed algorithm more extensive applicability and higher reuseable, and achieve the design and analysis reuse at certain extent
  抽象算法的得出可以使设计出的算法适应面更广，复用性更高，在一定程度上实现了设计及分析复用。
• Herein, we proposed that the software reuse technique based on algorithmic framework is to formal deduce from algorithmic program and get its abstract algorithm by using the par method proposed by professor xue jingyun
  本文提出的基于算法框架的软件设计及分析复用技术是利用薛锦云教授提出的par方法，对算法程序进行形式化推导，得到其抽象算法。
• Finally, based on noun phrase reference algorithm and from the aspects of text macro-constitution and micro-constitution, the text topic sentence abstracting algorithm is given and the author does some trial research on the automatic abstract system
  (2)在名词性短语的回指已完成的前提下，我们来提取文本的段落、章节以及全文的特征词，得到文本段落、章节和全文的特征词集。
• We defined radl for describing algorithm specifications and abstract algorithms, apla for describing abstract programs . the radl algorithms can be translated to apla programs, then to executable language programs such as delphi, mechanically
  在该方法的指导下，我们定义了radl(recurrence-basedalgorithmdesignlanguage)抽象算法设计语言来描述算法规约和抽象算法，定义了apla(abstractprogramminglanguage)语言来描述抽象程序。
• At first, we refer the text by the use of the noun phrase reference algorithm . then, we abstract the key word collections of phases, sections and the whole text finally, we analyze the macro-constitution and micro-constitution of the text and abstract topic sentences of the text by the use of the text topic sentence abstracting algorithm
  dhry硕士学位论文master’sthesis臼）我们还讨论了如何对文本进行篇章宏观结构分析和篇章微观结构分析，在完成全文、章节、段落和复句结构分析的基础上，运用主题句的提取算法进行段落、章节以及全文主题句的提取。
• It's a pity that although there are many papers and articles focused on data mining published every year, most of them deal with data mining concept and abstract algorithm theory, it is hardly to see their real implementation and application, in this context, when i was in my graduate exercitation in a company in beijing, which focus on developing supermarket software, i joined and completed an olap ( online analytical processing ) project, merchandise analysis and sale report system, which based on microsoft analysis service and microsoft sql server . i also design and implement three important algorithms : merchandise association rule algorithm based on multi-level merchandise category, supermarket member customer shopping frequent sequence generating algorithm, customer classification ( decision tree ) algorithm which based on information entropy and conditional probability tree, and they all achieve expected result
  本文作者在实习期间，参与并完成了基于微软分析服务器的销售分析与报表系统；并在公司即将开始的数据挖掘项目中，完成了多个重要算法的设计和c++程序实现：基于多层分类商品树的商品关联规则算法，会员顾客的购物频繁序列模式产生算法；基于信息熵理论和条件概率树的会员顾客分类(决策树)算法，并分别使用数据进行了测试，取得了较好的结果。