查询词典 role model

Using Basket warrants transaction data on TSEC from September 4, 1997 to June 25, 2001, the combination of five volatility models classical history volatility; Parkinson's(1980 high, low history volatility model; Garman and Klass's(1980) high, low, opening, closing history volatility model; Trippi's(1977) equal weights implied volatility model; Bollerslev's(1986)GARCH volatility model with two pricing models Black and Sholes's(1973 option pricing model, henceforth BS pricing model; Chen and Cheng's(2000) basket option pricing model, henceforth CC pricing model are discussed on valuation performance to obtain superior basket warrants pricing model.

本文利用1997年9月4日至2001年6月26日间在台湾证券交易所发行且已到期的组合型认购权证，使用五种波动性估计模型历史波动性模型、Parkinson(1980的最高、最低价历史波动性模型、Garman and Klass(1980)的最高、最低、开盘、收盘价历史波动性模型、Trippi(1977)的等加权平均隐含波动性模型、Bollerslev(1986)的GARCH波动性模型与Black and Sholes(1973)选择权评价模式、陈松男与郑翔尹(2000)的组合型认购权证评价模型(CC组合型认购权证评价模型)配对成十种评价模型，并比较其评价绩效，冀期能得到一较佳的组合型认购权证评价模型。

There are eight main hypotheses about the selective factors on evolution of endothermy in animals, including Thermal Niche Expansion Model, Homeothermy and Metabolic Efficiency Model, Decreasing Body Size Model, Postural Change Model, Increasing Brain Size Model, Aerobic Capacity Model, Parental Care Model and Assimilation Capacity Model.

内温性起源的选择因子包括8个模型：热生态位扩展模型、恒温与代谢效率模型、降低个体大小模型、姿势改变模型、增加脑大小模型、有氧呼吸能力模型、双亲行为模型和同化能力模型。

Discussion topics include data analysis, probability concepts, point and interval estimation, statistical inference, hypothesis testing, simple regression model, inference in the simple regression model, general linear statistical model, dummy variables, collinearity, heteroscasticity, autocorrelation, error-related model, the Probit model, the Logit model and the Tobit model, simultaneous equations, and the time-series statistical model

讨论的主题包括实证资料的分析，机率，点估计与区间估计，统计推论，假设检定，简单回归分析，一般线性统计模型与推论，虚拟变数，共线性问题，异质变异数，自我相关， Probit模型， Logit与Tobit模型，联立方程式的估计与推论，时间数列统计模型。

Through hang together the simplex data model based on dissection and conventional GIS data model, we develop a integrated and polymorphic model, object oriented unified model of tessellated simplex and conventional GIS, which convenient to inherit and congregate. The model manage the abstracted data accord to 4 level factor, that is geometry object model, topologic geometry object view model and geography object model.

论文采用面向对象的方法把基于剖分的单纯形数据模型与传统的GIS数据模型结合在一起，提出并建立了一个便于继承、组合、多态的较完整的三维数据模型与结构一面向对象的单纯形剖分与GIS一体化三维数据模型。

Using Basket warrants transaction data on TSEC from September 4, 1997 to June 25, 2001, the combination of four volatility models classical history volatility,Parkinson's(1980 high, low history volatility model,Garman and Klass's(1980) high, low, opening, closing history volatility model,Trippi's(1977) equal weights implied volatility model with two pricing models Black and Sholes's(1973 option pricing model, henceforth BS pricing model,Chen and Cheng's(2000) basket option pricing model, henceforth CC pricing model are discussed on valuation performance to obtain superior basket warrant pricing model.

摘要本文利用1997年9月4日至2001年6月26日间在台湾证券交易所发行且已到期的组合型认购权证，使用四种波动性估计模型历史波动性模型，Parkinson(1980的最高，最低价历史波动性模型，Garman and Klass(1980)的最高，最低，开盘，收盘价历史波动性模型，Trippi(1977)的等加权平均隐含波动性模型与Black and Sholes(1973)选择权评价模式，陈松男与郑翔尹(2000)的组合型权证评价模式配对成八种评价模式，并比较其评价绩效，冀期能得到一较佳的组合型认购权证评价模式。

The interest in physics is the important element of improving the study positiveness and achieving the effective teaching. To be brief, it plays a directional role, a delighted role, a reparable role, a consolidated role, a forceful role.

物理学匀兴趣是提高学习积极性和实现有效教学的重要因素，它的作用可概括为定向作用、愉悦作用、弥补作用、巩固作用、动力作用。

Confronted with the new course reform, the teacher is not to turn his role into other roles, but to determine anew in accordance with the requirements of new course his own professional connotations, which are expressed in the following "5-er/or＇ s": The teacher is a service performer of the students, which is the essential characteristic of the role, showing the nature and the working attitude of the teacher; he is a promoter of the students＇study, which is the kernel characteristic of the role, normalizing his teaching behavior; he is a cooperator of teaching and study, which is the basic characteristic of the role, normalizing the equal relation between the teacher and students as well as between teaching and study ; he is a constructer of the new course and a teaching - study researcher, which are the significant characteristics of the role, normalizing his specialty research and advanced learning and improvement.

面对新课程改革，教师不是把自己的角色转变为其他角色，而是根据新课程的要求重新确定自己的职业内涵：教师是学生的服务者，这是教师角色的本质特征，表明教师的性质和工作态度；是学生学习的促进者，这是教师角色的核心特征，规范教师的教学行为；是教与学的合作者，这是教师角色的基本特征，规范师生平等的教学关系；是新课程的建设者和教学研究者，这是教师角色的重要特征，规范教师的专业研究与进修提高。

In movie role design, no matter from the modelling, as well as pastes on the chart with the color, I take China ancient times as the big main key, caused the role and the story time background fuse, and acted according to each role the different localization, the mold role in the movie image, caused the role to be more vivid.

影片中角色的设计不管从造型，用色以及贴图上都，我都以中国古代为大的基调，使角色和故事的时代背景融合起来，并且根据每个角色的不同定位，塑造角色在影片中的形象，使角色更加生动。

Among used machine learning methods, the gradient descent method is widely used to train various classifiers, such as Back-propagation neural network and linear text classifier. However, the gradient descent method is easily trapped into a local minimum and slowly converges. Thus, this study presents a gradient forecasting search method based on prediction methods to enhance the performance of the gradient descent method in order to develop a more efficient and precise machine learning method for Web mining.However, a prediction method with few sample data items and precise forecasting ability is a key issue to the gradient forecasting search method. Applying statistic-based prediction methods to implement GFSM is unsuitable because they require a large number of data items to model a prediction model. In the contrast with statistic-based prediction methods, GM(1,1) grey prediction model does not need a large number of data items to build a prediction model, and it has low computational load. However, the original GM(1,1) grey prediction model uses a mathematical hypothesis and approximation to transform a continuous differential equation into a discrete difference equation in order to model a forecasting model.

其中梯度法是一个最常被使用来实现机器学习的方法之一，然而梯度法具有学习速度慢以及容易陷入局部最佳解的缺点，因此，本研究提出一个梯度预测搜寻法则(gradient forecasting search method， GFSM)来改善传统梯度法的缺点，用来提升一些以梯度学习法则为基础的分类器在资讯探勘上的效率与正确性；而一个所需资料量少、计算复杂度低且精确的预测模型是梯度预测搜寻法能否有效进行最佳解搜寻之关键因素，传统统计为基础之预测方法的缺点是需要较大量的数据进行预测，因此计算复杂度高，灰色预测模型具有建模资料少且计算复杂度低等优点，然而灰色预测理论以连续之微分方程式为基础，并且透过一些数学上的假设与近似，将连续之微分方程式转换成离散之差分方程式来对离散型资料进行建模及预测，这样的作法不尽合理，且缺乏数学理论上的完备性，因为在转换过程中已经造成建模上的误差，且建模过程仅考虑相邻的两个资料点关系，无法正确反应数列未来的变化趋势。

Based on the energy sensing, there are cooperative spectrum detection algorithms such as AND model, OR model, counting model, double threshold model, likelihood ratio model, linear cooperation model, and Distributed Wireless Communications System model.

基于能量检测，协作频谱检测的算法主要有：与算法、或算法、计数算法、分区算法、似然比算法、线性加权算法和分布式无线通信系统算法。

Hanna: That's over now, isn't it?

都结束了，对吗

You must be ill. You look so pale.

你一定是病了，你的脸色苍白。