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leaming

"leaming"的翻译和解释

例句与用法

  • This study, based on neuropsychological findings, is aimed at attaining three main purposes, namely ( 1 ) describing the profile of hemisphere preference of chinese college leamers when they were leaming english as a second language, ( 2 ) describing the profile of leaming strategies by different hemisphere preferred learners, ( 3 ) determining the relationship between hemisphere preference and strategy use . t'he study was catried out in a populaton of 300 esl students in three colleges
    本文以神经心理学关于左右脑在思维和语言上的差异为依据,以brown的“左右脑学习风格测试”及oxford的“语言学习策略调查”为工具,在3所大学300名理工科大专生,本科生和英语专业学生中调查学习者的语言学习风格与学习策略之间的关系。
  • This study, based on neuropsychological findings, is aimed at attaining three main purposes, namely ( 1 ) describing the profile of hemisphere preference of chinese college leamers when they were leaming english as a second language, ( 2 ) describing the profile of leaming strategies by different hemisphere preferred learners, ( 3 ) determining the relationship between hemisphere preference and strategy use . t'he study was catried out in a populaton of 300 esl students in three colleges
    本文以神经心理学关于左右脑在思维和语言上的差异为依据,以brown的“左右脑学习风格测试”及oxford的“语言学习策略调查”为工具,在3所大学300名理工科大专生,本科生和英语专业学生中调查学习者的语言学习风格与学习策略之间的关系。
  • According to the endogenous growth model, knowledge ( human capital ) is generated as a product of profit-aimed entrepreneurs " consciousness investment ( or a byproduct of unconsciousness investment ), or comes from firms, families and individuals " consciousness or unconsciousness investment in human capital through leaming-by-doing, school education and training
    在内生增长模型中,知识(人力资本)积累或是厂商为追求利润对r&d有意识投资的结果(或无意识投资的副产品),或是来源于干中学、学校教育和有目的培训等厂商、家庭或个人对专业化人力资本有意识或无意识的投资。
  • Comparing with non-bnyain methods, it's prominent featares lay in that it combines the prior and posterior information, which avoids the disadvantag of subjective bias caused by simply using the prior information only, of blind search caused by the incomplete sample information, of noise affection caused by simply using the sample information only if we choice a suitable priof, we can conduct the bayesian leaming effectively, so it fits the problems of data mining and machine leaming that possess charaters of probability and statistics, especially when the samples are rare
    与非贝叶扬方法相比,贝叶斯方法的特出特点是其学习机制可以综合先验信息和后验信息,既可避免只使用先验信息可能带来的主观偏见,和缺乏样本信息时的大量盲目搜索与计算,也可避免只使用样本信息带来的噪音的影响只要合理地确定先验,就可以进行有效的学习。因此,适用于具有概率统计特征的数据采掘和机器学习(或发现)问题,尤其是样本难得的问题
  • Comparing with non-bnyain methods, it's prominent featares lay in that it combines the prior and posterior information, which avoids the disadvantag of subjective bias caused by simply using the prior information only, of blind search caused by the incomplete sample information, of noise affection caused by simply using the sample information only if we choice a suitable priof, we can conduct the bayesian leaming effectively, so it fits the problems of data mining and machine leaming that possess charaters of probability and statistics, especially when the samples are rare
    与非贝叶扬方法相比,贝叶斯方法的特出特点是其学习机制可以综合先验信息和后验信息,既可避免只使用先验信息可能带来的主观偏见,和缺乏样本信息时的大量盲目搜索与计算,也可避免只使用样本信息带来的噪音的影响只要合理地确定先验,就可以进行有效的学习。因此,适用于具有概率统计特征的数据采掘和机器学习(或发现)问题,尤其是样本难得的问题
  • Each chapter consists of two sections and there are six sections altogether . the three chapters theoretically and practically discusses the subect of the reform of moral . education in institotes of higher leaming from six aspects : the environment of moral education, the concept of moral education, the conteni of moral education, the methodology of moral education, the power of moral education and the management of moral education
    每章两节,共六节,从德育环境、德育观念、德育内容、德育方法、德育力量和德育管理六个方面,从理论和实践两个层面,来论述网络的冲击与挑战引发的高校德育变革问题。
  • The part of the experimental research analyses the causes that pupils with learning disability in ningbo receive worse grades than normal students by means of diaganostic test of achievement factor ( dtaf ) : learning intention, learmng intention of different subject, learing plan, learning skillsjearning skills of different subject, leaming environment . the 300 pupils come from 15 primary schools in ningbo . as a result, we find out that their grades are closely related to their learning intention and skills and have nothing to do with learning plan and learning environment . we following psychological features : they have normal iq, but there is a tendency for them to develop mal-personality; they are menttally less healthy than normal students . the results of our research provide scientific basis for educators to improve the learning of students with l d elementary schools in ningbo erea
    实验研究部分采用《学习因素诊断量表》(dtaf)从学习动机、不同学科学习动机、学习计划、学习技能、不同学科的学习技能以及学习环境六个方面分析了宁波市15所小学300名学习困难学生学习成绩明显低于一般学生的原因,研究结果表明:学习困难学生成绩差与学习动机、不同学科的学习动机、学习技能、不同学科的学习技能有密切关系,与学习计划、学习环境关系不大;宁波市小学学习困难学生的心理特征是智力发展是基本正常的,但其性格特征有不良发展的倾向,心理健康水平也比一般小学生差。
  • Some cases that laid particular emphasis on " thoughts exploration " are also comnlented . such as illich's theory of *'deschooling society " and four kinds of learning netxxorks . goodman's " six substituting proposa1s ", the description of learning society based on self leaming principle in learning to be, etc .
    在上述这些理念与行为的巨大变化背后,是更为深层的思维方式上的转变,具体表现为:从朴素的经验与缺少实证的思辨转向以“假设验证”为基本程序的实证主义经验思维,以连续性原则超越二元对立思维方式、以系统思维方式超越线性思维方式,以动态生成观点丰富稳态系统内部相互作用的观点。
  • By comparing with secondary e-education in america, the author puts forward three strategies : change the guiding ideology of education and intensify the practical study of e-teaching-and-learning theory; build an e-teaching-and-leaming environment and model suited to the secondary education; and improve e-teaching-and-learning between teachers and students
    通过调查分析,中学网络化教学的发展面临诸多制约因素,通过与美国中学网络教育的对比,作者提出三个对策:转变教育指导思想,加强网络化教学理论的应用性研究;建立适合中学教育特征的网络教学环境与网络教学模式;提高教师和学生的网络化教学水平。
  • For leaming largerscales texts corpus by svm, it is bohant that decomposihon method optanises the svm with respect to subsets and recursively solves the whole svm . the c a estiinator based on leave-one-out test can perform emciently and effectively estiinating in term of error rate, precision, recall and f1
    针对超大规模文本库的训练与评估问题,采用分解算法,迭代求解,然后利用基于leave-one-out技术的评估方法快速有效地计算错误率、准确率、召回率和f_1指标。
  • 更多例句:  1  2  3  4  5
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