查询词典 statistic decision problem

In chapter 5, in allusion to the shortcoming of the existing high resolution radar target detection algorithm, taking the problem of high resolution radar target detection as the problem of true-false target recognition, and borrowing ideas from the dealing with novelty problem, this paper introduces one-class SVM into high resolution radar true-false target recognition for the first time. That can provide a new idea for solving high resolution radar true-false target recognition problem.

第五章针对现有的高分辨雷达目标检测算法的缺陷，将高分辨雷达目标检测问题等效为真假目标识别问题，并借鉴处理异常值问题的思想，首次将1类支持向量机引入高分辨雷达真假目标识别之中，为解决高分辨雷达真假目标识别问题提供了一条崭新的思路。

Creating companionate choice problem is dummy company one of establishing level important and decision-making problem, having major effect to the function of dummy company.

制造伙伴选择问题是虚拟企业组建阶段中的一个重要决策问题，对于虚拟企业的性能有着重大的影响。

In fact most Apriori which has gained association Rules suppose whither time or place is effective for ever, but this can"t solve some impersonal problem in morden life, iradionary association Rules in a general way can answer some question for example, there are 90 percent people buy sugar of who buy creamery ,but they can"t answer such question for example the people who buy creamery, but they cant answer such question for example the people who buy creamery of counter one today but there are 90 percent will buy sugar of counter two, moreover, such problem sometimes is the person of decision-making concerned thing because many things have relation with the factor of time and space, so it need consider the factor of time and space in date.

大多数算法得到的关联规则事实上都假定无论是时间还是地点都是永远有效的，但这并不能彻底解决现实生活中的许多客观问题。传统的关联规则一般可以回答诸如"购买了牛奶的人有90％购买了糖"之类的问题，但是不能回答"今天购买了柜台1中牛奶的人明天有90％购买了柜台2中的糖"之类的问题，而这类问题也往往是决策者在实际中所关心的。

Such problem can also be described as an average reward Markov decision process with additional constraints, which can be equivalent to an integer linear programming problem.

在已知极点间转移概率的前提下，将检测点的分布问题描述成一个平均报酬Markov决策过程，并通过转化为一个等价的整数线性规划问题来求解。

The problem of complexity in calculation presents to fault tree analysis.Binary decision diagram is a new method in solving the problem.

故障树分析法在实施过程中会遇到计算量大的问题，二元决策图是解决这个问题的一种新途径。

We adapt the linear programming formulation that is proposed by Leachman[1992] to model the production planning problem of the semiconductor wafer fabrication. Using the sensitivity analysis method of linear programming simplex algorithm, we can revise Available-To-Promise by post optimization calculation of the original production planning problem. This thesis proposes an order quotation management system that can provide decision information in short time by using speedy modern computers.Furthermore, the delivery schedule planning module can provide the precision information about delivery date and quantity of an order.

本论文是以半导体晶圆厂为研究对象，利用现有 Leachman [1992] 所提出之生产计划模型为基础，透过线性规划中敏感度分析的方法来重解原生产计划模型，产生新的可应允数量，并应用现今电脑系统快速而大量运算的能力，构建一个能即时且电话中提供相关决策资讯的订单查询管理系统，以精确而快速的回应顾客之订单查询需求。

Always be over pairs of household companies to the criticism of household company socially praise, appoint people by favouritism, reject high quality talent house is exalted, heavy a serious existence of; face problem, the management of masty; dictatorship causes familial and in-house difference decision-making quality is not advanced, disclose the problem of household company always is over pairs of household companies to praise.

社会上对家族企业的批评总是多于对家族企业的表扬，任人唯亲，拒绝高素质人才居高位、重位；面子问题严重存在，家族内部分歧不易解决；独裁的治理导致决策的质量不高等，揭露家族企业的问题总是多于对家族企业的赞美。

In view of the operational SITIO problem is faced by the system decision-maker daily, the dissertation uses two chapters to address this class problem applied in two situations respectively.

由于作业层的随机联合优化问题几乎是系统决策者每天都要面对的问题，本文用两章篇幅分别讨论了两种应用背景下解决这类问题的过程。

In view of the operational SITIO problem is faced by the system decision-maker daily, the dissertation uses two chapters to address this class problem applied in two situations respectively. One of two situations is assumed to be R-System.

山于作业层的随机联合优化问题几乎是系统决策者每天都要面对的问题，本文用两章篇幅分别讨论了两种应用背景下解决这类问题的过程。

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。

Don't listen to their haver, nothing of that sort.

别听他们胡说八道，根本就没那回事。

But bank's shares trade below their book value, suggesting that investors are skeptical.

但是，银行股票以低于账面价值的价格交易，这一点反应了投资者的怀疑。