例句與造句

1. Transforming the document shows the results of the default rules for white space stripping
   對該文檔的轉(zhuǎn)換演示了應用空白去除的缺省規(guī)則的結果：
2. That is , a visual designer uses default rules to generate the value of a property
   ，也就是說，可視化設計器使用默認規(guī)則來生成屬性( property )值。
3. Applying this attribute to an assembly tells the obfuscation tool to use its default rules for the assembly type
   將此屬性應用到某一程序集會通知模糊處理工具對該程序集類型使用其默認規(guī)則。
4. A rough set model to mine default rules was presented in order to reason and solve the decision question with incomplete information
   摘要提出了一種基于粗集的缺省規(guī)則挖掘模型，以利于在信息不完備情況下進行推理和決策。
5. Most fields are processed by the default rule , which copies the original data , but the date and quantity fields have special templates to reformat the date and to supply missing information , respectively
   大部分字段都由默認規(guī)則處理，即復制原始數(shù)據(jù)，但是date和quantity字段有專門的模板，分別用于重新格式化日期和提供丟失的信息。
6. It's difficult to find default rule in a sentence. 用default rule造句挺難的
7. A analytical theory is established by putting causal elements into partial states and actions , which deepens our understanding of event causation at the level of partial states and actions . ( 3 ) a causal rule representation is mapped into default logic formalism , based on the examination of general properties of causation . the default rule representation provides a concise syntactic and semantic formalism for potential causal relations to be used in causal reasoning models such as predicting , explaining and diagnosing
   ( 2 )通過對因果關系的可能類型的全面分析，給出了因果關系的結構與組成元素，特別是區(qū)分了潛在的因果關系內(nèi)的原因、結果和因果場中的激活條件，并且把它們同半狀態(tài)與動作對應起來，建立了關于因果關系的分析理論。
8. In third part , we established two algorithm : data reduct and mdrbr ( mining default rules based on rough set ) , the objective is to acquire diagnostic knowledge from cases automatically from the diagnosed cases database , in the end established knowledge database that could be used for consequence . and in this part , we also discussed question how to inosculate between acquire knowledge by data mining and experience of clinician , and estimated for knowledge
   從第三部分開始，在經(jīng)典粗糙集理論的基礎上建立適合于醫(yī)學信息數(shù)據(jù)挖掘的算法:數(shù)據(jù)簡約和默認規(guī)則挖掘算法mdrbr ( miningdefaultrulesbasedonroughset ) ，將診斷知識從確診病例數(shù)據(jù)庫中自動的獲取出來，最終形成可用于推理的知識，還討論了對于所挖掘到的知識如何與臨床醫(yī)生的經(jīng)驗融合的問題，以及知識的初步評價。
9. There are follow innovative idea : solving the bottleneck problem in constructing medicinal assisted diagnosis system using technology of data mining ; starting with classical rough set theory , established two algorithms : data reduct and mdrbr ( mining default rules based on rough set ) , the objective is to acquire diagnostic knowledge from cases automatically from the diagnosed cases database , in the end established knowledge database that could be used for consequence
   本研究的創(chuàng)新點:使用數(shù)據(jù)挖掘技術，解決醫(yī)學輔助診斷專家系統(tǒng)開發(fā)過程中的瓶頸問題;從經(jīng)典的粗糙集理論入手，結合確診病例數(shù)據(jù)庫和臨床診斷的特點，得到兩種數(shù)據(jù)挖掘算法:數(shù)據(jù)簡約算法和默認規(guī)則挖掘算法mdrbr ( miningdefaultrulesbasedonroughset ) ，從已確診病例數(shù)據(jù)庫中獲得骨腫瘤診斷知識，建立診斷知識庫。