查询词典 learning for practice

The thesis studies the cognitive process of organizational learning descriptively on the basis of comparative analysis of organizational learning theories .

本文在对组织学习理论进行比较分析的基础上，从组织行为的角度出发，对组织学习的认知过程进行描述性研究。

RT of the all age groups of students do not have significant difference; But in sequence learning, participation degree of consciousness and abstraction amount of sequence knowledge among various groups is different. Sequence learning of primary and junior high school students is implicit, and that of college students has participation of consciousness.

大中小学生的序列反应时没有显著差异；但是，在序列学习中，不同年龄组学生意识的参与程度和序列知识的提取量是不同的，小学生和初中生的序列学习以内隐性为主，大学生的序列学习则有意识成分的参与。

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。

As one of the important factors of school learning support services, the vigorous campus network has such tracts and advantages as digitalism, multimedia, interaction and fast speed. It plays a more and more important role in learning support services.

校园网作为学校学习支持服务的重要元素之一，先进而富有活力，集数字化、网络化、多媒化、交互强、高速度等特性与优势于一身，在学校学习支持服务中发挥着越来越重要的作用。

Support Vector Machine is a new machine learning method based on the idea of VC dimension and Statistical Learning Theory.

支持向量机是基于VC维和统计学习理论理念的一种新的机器学习方法。

Careful thought is given to designing it to encourage a deep learning and critical approach, developing an ability to think widely about the issues in the subject and to explore these in line with directed and independent learning.

投入巧思设计它来激励深奥学问和批判方法，并建立一个广泛思考的能力，透过指导与自修去探索主题中的争议。

However, on the other hand, learners are easily lost in it, thus causing a phenomenon of "learning disassociation", Therefore, control for web-based learning is necessary.

因此，网络学习也要对学生进行必要的控制。

This article first introduced the development distance learning system goal and the significance, and have analyzed the basic function which the distance learning system should have.

本文首先介绍了开发远程教育系统的目的和意义，并分析了远程教育系统所应具备的基本功能。

Stephen Downes : Stephen is perhaps best known for his daily research newsletter, OLDaily (short for Online Learning Daily), which reaches thousands of readers across Canada and around the world. His work also includes the development of educational content syndication systems such as Edu_RSS and DLORN along and the design of a digital rights management system for learning resources.

Stephen Downes Stephen 可能最出名的就是他的线上学习日志，在加拿大和全世界拥有成千上万读者，他的工作主要集中在设计教育聚合的系统比如 Edu_RSS 以及DLORN 项目，以及设计学习资源的版权管理系统。

Downes, Learning Objects: Resources for distance education worldwide, 2001 The idea that educators could assemble learning materials out of predefined components has never been abandoned.

利用这个理念，教育者可以利用预先确定的组件，组合出新的学习资源而不用抛弃。

That snake Alaric named Archbishop...

庇护。。。那个毒如蛇蝎的Alaric被命名为大教主。。。

You have done lots of magical things to be amazed at.

你做了很多神奇的事物感到惊讶。