distributed learning

On the other hand, it is also hoped that these distributed learning resources and systems can be shareable, reusable and interoperable.

另外一方面，人们又希望能够实现这些分布式学习资源与系统的统一共享、重用与互操作。

If the distance education is the effective ways of the long-life education, distributed learning may bring the new thinking and inspiration.

如果说远程教育是终身教育的有效途径，那么分布式学习将带来新的思考和启发。

By analyzing this question and following the mainstream trend of intelligentized software application, it explores and summarizes the direction of applying "Intelligent Tutoring" in distributed learning environment. Then it analyzes the impact and enlightenment that distributed recognition theory has on ITS.

在问题反思的基础上，结合智能化软件应用的主流趋势，探讨与总结了分布式学习环境中智能教学的应用取向，并随后在此基础上分析了分布式认知理论对ITS的影响与启示；

The belief propagation is an effective method of distributed learning, but it is complicated and thus not very suitable for low-cost wireless sensor networks.

利用置信传播架构是分布式学习中的有效方法，但是其本身计算较为复杂，不适用于廉价的无线传感器网络。

Intelligent Tutoring System Research in Distributed Learning Environment

分布式学习环境中的智能授导系统研究

Research on learning services of super distributed learning object

超级分布学习对象的学习服务研究

There are many positive researches on computer-supported collaborative learning ( CSCL) environments in asynchronous distributed learning groups ( DLGs).

现在有很多关于计算机支持下协作学习（CSCL）异步环境中分布式学习团体（DLGs）的实证研究。

Facing the new situation, distributed learning has stood up as a flexible, popular and convenient way of learning.

面对着新形势，分布式学习作为一种更为灵活、普及、便利的形式脱颖而出。

Discussion on the Theory of Distributed Learning

分布式学习理论浅谈

Research on Distributed Reinforcement Learning Theory and Its Applications in Multi-robot Systems

分布式强化学习理论及在多机器人中的应用研究

With the popularity of wireless mobile sensor network applications in environmental monitoring and exploration, the research of appropriate distributed learning and cooperative control strategy for wireless mobile sensor networks become an urgent demand for the development of multi-agent system.

伴随着无线移动传感器网络在环境监测和环境探查中应用的普及。迫切需要研究适用在无线移动传感器网络中的多智能体系统分布式学习算法和协同控制策略。

The existing distributed machine learning algorithm library, Mahout, offers some classic classification algorithm, such as Bayes and decision trees.

现有的分布式机器学习算法库Mahout，提供了一些经典的分类挖掘算法，如贝叶斯、决策树等。

On the question of ITS modeling in distributed learning environment, the writer proposed a concept characterized by "self-adaptation" based upon theoretical analysis.

承继对问题的理论分析，对于分布式学习环境中的ITS建模而言，笔者提出了以自适应为特征的建模概念。

In the essay we discuss and analyze a series of problems such as the connotation of the distributed learning, the learning theory base, component essential factors and the differences of the distance education.

本文主要对分布式学习的内涵、学习论基础、构成要素以及与远程教育的区别等一系列问题进行了深入的分析和讨论。

Study of the Advantages of Distributed Learning Environment in All-life Learning

分布式环境在终身学习中的优势研究

Massed and distributed learning

集中学习和分散学习

Briefing on Distributed Learning

简论分布式学习

Modeling Methods for Distributed Learning System

分布式学习系统软件建模方法研究

The reinforcement learning method is used in Agent learning, the TS type recurrent fuzzy neural network ( TSRFNN) is employed to realize the actor-critic elements. The agents in system are optimized coordinately by using the distributed learning algorithm.

在控制Agent中采用Actor-critic强化学习方法，运用TS回归模糊神经网络实现行动和评判模块，使用分布式学习算法对多个Agent协调优化。

The Distributed Learning is the trend of future learning.

分布式学习是未来学习的发展趋势。

Distributed Learning: Different Ways Lead to the Same End from Distance and Traditional Education

分布式学习：过程与传统教育的殊途同归

This paper shows how to realize personalized learning support in distributed learning environment based on web services technologies.

讲述了在基于Web服务技术的分布式学习环境中如何构造一个分布式的个性化数字学习环境。

Telecommunication tools coupled with artificial intelligence and virtual reality are transforming traditional distance education into a new instructional paradigm called distributed learning.

远程通信工具加上人工智能和虚拟真实技术正在使得传统的远程教育转变为一种新的教学范例，称为分布学习。

Field-researchers have made broad and profound researches into the increasingly complicated distributed learning systems from various points of view.

领域研究者从不同的角度对日益复杂化的分布式学习系统进行了广泛深入的研究。

Survey of distributed reinforcement learning algorithms in multi-agent systems

多智能体系统中的分布式强化学习研究现状

An empirical study of distributed case learning is used to explore the case analysis process of learners after their experiential learning.

结合一个分布式案例学习的实践研究，探索了采用亲验式学习过程后学习者的案例分析过程。

Distributed learning emerged from research on the science of distributed cognition.

分布学习源于对分布认知科学进行的研究。

A multi-agent coordination model and corresponding algorithm based on distributed reinforcement learning are proposed.

提出了一种基于分布式强化学习的多Agent协调模型并给出了相应的算法。

Distributed Learning: The Direction of Distance Education

分布式学习：远程教育的发展方向

CSCL is a quite new distributed learning pattern.

CSCL是一种全新的分布式的学习模式。