drift about

drift about的基本解释

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漂泊不定, 虚飘飘, 流徙, 飘摇

与drift about相关的网络例句 [注：此内容来源于网络，仅供参考]

In a database the concept of an example might change along with time which is known as concept drift When the concept drift the classification model built by use of old data is unsuitable for classify new data Therefore concept drift has become a hot issue in data mining in recent years Although many algorithms had been proposed to resolve this problem they can not provide users with the reason of concept drift However a user might be very interested in such rules For example doctors want to find what makes disease change; researchers want to know the reason of the variety of the weather; and decision makers would like to understand why a customer's shopping habit change In this thesis we propose a Concept Drift Rule mining Tree called CDR-Tree to solve this problem CDR-Tree can not only find the rule of concept drift also build the prediction model for both old and new data at the same time

无论在大型资料库或现实生活中，同一资料样本的概念有可能会随著时间的递移而改变，也就是产生所谓的概念漂移。当样本发生概念漂移时，由旧有资料所建构的分类模组将不再适用於预测新获得的资料，因此，近年来概念漂移已成为资料探勘中一项热门的研究议题。虽然已有？多学者提出不同的技术来解决概念漂移的问题，但是这些方法都是利用修正或重建的方式来产生适合新资料的预测模组，并无法提供造成概念漂移的原因。然而对使用者而言，其感兴趣的可能正是这些引起概念漂移的规则，如医生可能想了解引起疾病变化的主因、学者会想要知道气候转变的规则、或是决策者想找出顾客购物习惯改变的因素等。因此，本论文提出概念漂移规则探勘树( Concept Drift Rule mining Tree )，简称CDR-Tree，来解决这个问题。CDR-Tree不但能探测出造成概念漂移的主要原因，亦能同时建立新旧资料的预测模组以供决策者运用使用。

The experiment shows that,there is phase drift of low frequency in the digital image seriel acquired by CCD camera and frame grabber,different CCD has different drift characteristic and level;the phase drifts are not identical even in the same image line,the phase drift of neighboring locations in an image line has distinct correlation;the drift levels ...

实验表明：经 CCD Camera和图像卡采集的数字图像序列中存在着低频的图像抖动，即位相漂移。而且不同的 CCD Camera具有不同的漂移特点和程度，甚至在同一个图像行内的漂移也不完全一致。一般在图像行内相近的位置之间，位相漂移有明显的相关性，不同的图像行之间的漂移的程度相同，但没有相关性。最后本文还给出了一种位相漂移的修正方法

The main work and achievements are as following:An overview of gyros drift is presented. Its cause is analyzed and it is categorized into three types: constant drift, slope drift and random drift.

主要的工作及完成的任务如下：首先对陀螺仪的漂移进行了概述，分析了其产生的原因，并把它分为三种：常值漂移，斜坡漂移及随机漂移。

与drift about相关的网络解释 [注：此内容来源于网络，仅供参考]

drift-angle buildup：造斜率

drift 偏差 | drift-angle buildup 造斜率 | drift-flux model 漂移流动模型

cloud drift wind：云导风

偏移控制:Drift Controlling | 云导风:cloud drift wind | 温度漂移:thermal drift thermal

drift along：混日子

drift around四处飘荡 | drift along混日子 | drift apart疏远