RWL：现实世界学习
“现实世界学习”（Real World Learning，常缩写为RWL）是一种强调在实践中学习的教育理念，广泛应用于社会和教育领域。这一术语通过缩写形式RWL，便于日常书写和交流使用，旨在将学习内容与真实社会情境紧密结合，提升学习者的实践能力和应用技能。
Real World Learning具体释义
Real World Learning的英文发音
例句
- " High dimensionality and small size samples " is widely encountered in many real world machine learning applications.
- “高维度小样本”问题是模式识别应用中的主要障碍之一。
- It provides an ability system to describe job requirements and the related educational purposes, and emphasizes the way to enhance the crucial link between the classroom learning and the " real world " through experiential learning.
- 它提供了一种描述工作要求和相关教育目的的能力系统，并强调可以通过体验式学习方式加强课堂与真实世界之间的关键联系。
- The continuous attribute problems are often encountered in the real world, but many outstanding inductive learning algorithms are mainly based on a discrete feature space.
- 实际问题中经常涉及连续的数值属性，然而许多归纳学习算法却是针对离散属性空间的。
- The Word Sense Disambiguation ( WSD ) study based on large scale real world corpus is performed using an unsupervised learning algorithm based on DGA improved Bayesian Model.
- 采用基于依存分析改进贝叶斯网络的无指导的机器学习方法对汉语大规模真实文本进行词义消歧实验。
- Learning by solving real world problems is the main claim from authentic learning theory and practice and such kind of learning can help develop various abilities for information age.
- 真实学习的理论观点和实践主张强调学生通过解决真实世界的问题进行学习，从而逐步发展信息时代所需要的多种能力。
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