The Distributed learning is the trend of future learning.
分布式学习是未来学习的发展趋势。
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 offering a keen insight into the concept of distributed learning, this article analyzes the elements of the distributed learning environment and points out its basic characteristics.
文章在认识分布式学习概念的基础上，提出了分布式学习环境的组成要素，并通过对要素进行分析，指出了分布式学习环境所应具备的基本特征。
It is its capacity to hold error rather than scuttle it that makes the distributed being fertile ground for learning, adaptation, and evolution.
正是其容纳错误而非杜绝错误的能力，使分布式存在成为学习、适应和进化的沃土。
After years of building, extending, and maintaining large, distributed applications, programmers are learning to appreciate the benefits of platform-neutral behavior and platform-neutral data.
经过几年构建、扩展和维护庞大的分布式应用之后，程序员逐步体会到平台无关的行为和平台无关的数据的好处了。
Learning to use OMG IDL correctly and efficiently is a great place to begin your journey toward learning CORBA and writing excellent distributed systems.
学习正确和有效地使用OMGIDL是您开始学习CORBA和编写优秀的分布式系统的良好起点。
Not only must learning be distributed throughout a simulation; all functions must be.
在整个模拟中，不仅学习必须是分布式的，而且所有的功能都必须是分布式的。
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。
Manifold learning attempts to obtain the intrinsic structure of non-linearly distributed data, which can be used in non-linear dimensionality reduction(NLDR).
流形学习旨在获得非线性分布数据的内在结构，可以用于非线性降维。
Finally, analyzes the constructivist learning theory, distributed cognition theory, group dynamics theory, learning organization theory for the enlightenment of this study.
最后，分析了建构主义学习理论、分布式认知理论、群体动力学理论、学习型组织理论等对本研究的启示。
The field goes by many names, such as connectionism, parallel distributed processing, neuro-computing, natural intelligent systems, machine learning algorithms, and artificial neural networks.
这个领域 有很多术语，例如连接机制、并行分布处理、神经计算、自然智能系统、机器学习算法和人工神经网络。
The field goes by many names, such as connectionism, parallel distributed processing, neuro-computing, natural intelligent systems, machine learning algorithms, and artificial neural networks.
这个领域 有很多术语，例如连接机制、并行分布处理、神经计算、自然智能系统、机器学习算法和人工神经网络。
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