But that is not the case for another celebrity figure, New York businessman Donald Trump.

The way space is used to enable the individual to achieve privacy, to build homes or to design cities is culturally influenced.

第一个is used是定语从句的谓语动词，但是该定语从句省略了引导词。定语从句中三个并列的不定式短语动词to achieve privacy，to build homes or to design cities共同作为is used的目的状语。

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In fact, most parents neglect a feature that lies in children's learning: exploratory interest.

其实，多数家长忽略了一个孩子学习的特点，即探究的兴趣。

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This study was to investigate the situation of college students ′ non-intelligence and daily study.

对大专生的非智力因素情况以及学习活动特点进行调查分析。

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Research on Characteristics and Training of Motivation of Chemistry Learning among Health School Students

卫生学校学生化学学习动机特点与培养的研究

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A Preliminary study of Learning Motivation of College Students

关于大学生学习动机特点的初步研究

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In Section 2, the nature, history and algorithms are introduced.

在第二章介绍了增强学习的特点、发展历史和各种算法。

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Seventh, we neglect that the object belongs to adult study;

忽视了培训对象的成人学习的特点；

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Achieving program effectiveness by applying adult learning features and methods.

能够在授课时结合成人学习的特点以达到课程的有效性。

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The Features and Policies of Adults' Learning Standard Chinese Pronunciation

成人普通话学习的特点及其策略

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The feature of the study of math and their behavioral demonstration

数学学习的特点及其行为表征

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On the other hand, the watchful limit and the switching control for running state in the network were introduced, which combined the ART2 network's unsupervised training ability.

另一方面结合ART2神经网络无师学习的特点，引入了网络警戒门限和运行状态切换控制。

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Using the Back-Propagation ( BP) of Artificial Neural Net ( ANN), putting in the main effect-factors of capitalization rate, and then the BP net will train thousands of times till the result go steady, that is the output of the net, capitalization rate.

将人工神经网络用于确定资本化率，输入影响资本化率的主要因素，利用BP网络的自适应学习的特点进行反复训练和自我学习，可得出趋于稳定的输出，即资本化率。

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This article introduces how to give full play to the characteristic of researching learning, with the help of WIKI platform in higher school environment, in order to achieve higher school talent training goal.

本文介绍了如何在高校教育环境中，借助于WIKI系统这一平台，充分发挥研究性学习的特点，促进高校人才培养目标的实现。

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Fuzzy neural network is a combination of fuzzy logic and neural networks. In this paper, by using the character of knowledge representation and learning of fuzzy neural networks, input resolution on Horn sets is implemented.

模糊神经网络是模糊逻辑与神经网络的融合，文中利用模糊神经网络的知识表示及学习的特点，结合输入归结的优点，进行Horn集上的输入归结。

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MMAL fully takes the characteristic of mobile agent learning into account. It can make agent make a decision in uncertain context with conflict target. Also it can solve the problems that how can an agent choose moving occasion and it can greatly reduce the computational cost.

算法充分考虑了移动Agent学习的特点，使得移动Agent能够在不确定和有冲突目标的上下文中进行决策，解决在学习过程中Agent对移动时机的选择，并且能够大大降低计算代价。

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Different from the previous sorting procedures such as the expert system, text-based analysis and keyword-based comparison system, this paper adapt SVM to implement the intelligent sorting of the emails according to the text data learning characteristics.

区别于以往采取专家系统、基于语义分析及基于关键字比较的分类方法，根据文本数据学习的特点，采用支持向量机（SVM）来实现电子邮件的智能分类方法。

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This algorithm pays fully attention to multi-agent cooperative learning together simultaneity, so it can make each agent predict its action policy based on the estimation on its action's long-time reward. At last relevant decisions to be the best associated action policy is made.

算法充分考虑了多Agent共同学习的特点，使得Agent基于对动作长期利益的估计来预测其动作策略，并做出相应的决策，进而达成最优的联合动作策略。

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The innovative points of the thesis mainly include three aspects: ( 1) For the feature of the Research-Oriented Learning, the subject carries out the technical and non-technical reformation and reconstruction on the Blog.

本课题的创新之处主要体现在三个方面：（1）针对研究性学习的特点，对Blog进行了技术性和非技术性的改造与重构。

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The algorithm has become one of the ways in data mining theory and application because of intuitive, without priori statistical knowledge, and no study features. The main works of this thesis is k nearest neighbor classification algorithm.

该算法具有直观、无需先验统计知识、无师学习等特点，目前已经成为数据挖掘技术的理论和应用研究方法之一。本文主要研究了K近邻分类算法。

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Each component is described. As an open and self-learning system, it's useful in domain Ontology construction.

该自动构建系统具有开放性和自我学习的特点，可以面向某领域进行领域Ontology的构建。

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