default rules中文是什么意思

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中文翻譯
造句

違責(zé)處理規(guī)則

default n. 1.不履行；違約；拖欠。 2.【法律】不履行債務(wù)； ...
rule n. 1.規(guī)則，規(guī)定；法則，定律；章程，規(guī)章；標(biāo)準(zhǔn)；(教 ...
default parameter rules 默認(rèn)參數(shù)規(guī)則
be in default 不履行（契約）
default n. 1.不履行；違約；拖欠。 2.【法律】不履行債務(wù)；缺席。 3.欠缺，缺乏。 judgment by default 缺席裁判。 make default 缺席。 suffer a default 受缺席裁判。 be in default 不履行(契約)。 in default of 因無(wú)…，若缺少…時(shí)，若沒有…時(shí)(He was silent in default of any excuse. 他無(wú)可推諉，啞口無(wú)言)。 vi.,vt. 1.拖欠(欠款等)，不履行。 2.(使)不到案；(比賽)不出(場(chǎng))，不參加到底。 3.缺席裁判(某人)，因不出場(chǎng)而輸?shù)?比賽)。 defaulting subscriber (電話)欠費(fèi)用戶。
default to on 默認(rèn)為開
in default of 若缺少...時(shí); 因沒有
on default 有過失的未履行責(zé)任的未出庭的
by rules 依據(jù)條例
rules 安全法規(guī); 本論壇規(guī)則; 傳統(tǒng)決策規(guī)則; 規(guī)程; 規(guī)條; 規(guī)則游戲; 規(guī)章; 入級(jí)規(guī)范; 條例; 推襠規(guī)則
arbitrate by default 缺席仲裁
choice of default 缺省選擇
competitor in default 犯規(guī)運(yùn)動(dòng)員
compiler default 編譯程序缺省規(guī)則
cross default 交互不履行; 連帶違約
debt default 債務(wù)拖欠
declare in default 訴訟當(dāng)事人的缺席宣告; 宣告訴訟當(dāng)事人的缺席
default a ignment 缺省賦值
default accept 解除啟用
default access 缺省訪問
default account 預(yù)設(shè)帳戶
default action 默認(rèn)操作; 默認(rèn)動(dòng)作; 預(yù)設(shè)動(dòng)作/攻擊/確認(rèn)
default address 缺省地址
default and cross default條款及交叉違約
default and repossession 逾期欠款與貨品

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例句與用法

Transforming the document shows the results of the default rules for white space stripping
對(duì)該文檔的轉(zhuǎn)換演示了應(yīng)用空白去除的缺省規(guī)則的結(jié)果：
That is , a visual designer uses default rules to generate the value of a property
，也就是說(shuō)，可視化設(shè)計(jì)器使用默認(rèn)規(guī)則來(lái)生成屬性( property )值。
Applying this attribute to an assembly tells the obfuscation tool to use its default rules for the assembly type
將此屬性應(yīng)用到某一程序集會(huì)通知模糊處理工具對(duì)該程序集類型使用其默認(rèn)規(guī)則。
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(jìn)行推理和決策。
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(rèn)規(guī)則處理，即復(fù)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。
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(duì)因果關(guān)系的可能類型的全面分析，給出了因果關(guān)系的結(jié)構(gòu)與組成元素，特別是區(qū)分了潛在的因果關(guān)系內(nèi)的原因、結(jié)果和因果場(chǎng)中的激活條件，并且把它們同半狀態(tài)與動(dòng)作對(duì)應(yīng)起來(lái)，建立了關(guān)于因果關(guān)系的分析理論。
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(chǔ)上建立適合于醫(yī)學(xué)信息數(shù)據(jù)挖掘的算法:數(shù)據(jù)簡(jiǎn)約和默認(rèn)規(guī)則挖掘算法mdrbr ( miningdefaultrulesbasedonroughset ) ，將診斷知識(shí)從確診病例數(shù)據(jù)庫(kù)中自動(dòng)的獲取出來(lái)，最終形成可用于推理的知識(shí)，還討論了對(duì)于所挖掘到的知識(shí)如何與臨床醫(yī)生的經(jīng)驗(yàn)融合的問題，以及知識(shí)的初步評(píng)價(jià)。
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(diǎn):使用數(shù)據(jù)挖掘技術(shù)，解決醫(yī)學(xué)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(jié)合確診病例數(shù)據(jù)庫(kù)和臨床診斷的特點(diǎn)，得到兩種數(shù)據(jù)挖掘算法:數(shù)據(jù)簡(jiǎn)約算法和默認(rèn)規(guī)則挖掘算法mdrbr ( miningdefaultrulesbasedonroughset ) ，從已確診病例數(shù)據(jù)庫(kù)中獲得骨腫瘤診斷知識(shí)，建立診斷知識(shí)庫(kù)。

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