患者安全主要概念的标准化分类，是分享全世界卫生保健系统学习的关键。
A standardized classification for key patient safety concepts is vital to share learning across health-care systems all over the world.
Classification：该学习对象是否符合特定的分类系统。
Annotation.Classification: Where this learning object falls within a particular classification system.
更一般地说，对于那些有用的分类系统，和容易判断的分类系统，分类学习都适用。
More generally, classification learning is appropriate for any problem where deducing a classification is useful and the classification is easy to determine.
监督学习是最常见的分类问题，因为目标往往是让计算机去学习我们已经创建好的分类系统。
Supervised learning is fairly common in classification problems because the goal is often to get the computer to learn a classification system that we have created.
例如，某些基本的神经网络，它们的感知器只倾向于学习线形函数(通过划一条线可以把函数输入解析到分类系统中)。
For instance, a certain kind of basic neural network, the perceptron, is biased to learning only linear functions (functions with inputs that can be separated into classifications by drawing a line).
文档索引对于学习算法和分类系统都是至关重要的一步。
Document Indexing is a crucial step for learning algorithms and classifying systems.
系统按分类学习结果自动选择工艺参数以控制磨削加工质量。
Finally, according to the result of classifying study the system automatically selects the technology parameter to control the grinding quality.
本文依据知识分类和学习策略等心理学理论，对基于网络环境的初中语文教学内容呈现策略进行了系统设计研究。
The thesis is according to the Knowledge Classification Theory and Learning strategies, and design the presenting tactics of the Chinese web-based curriculum content of junior middle school.
该算法的有效性已由计算机仿真实验所证实，可被认为是一种很有发展前途的模式分类系统的机器学习算法。
Its effectiveness has been testified by computer simulating experiment and it can be regarded as a promising machine learning for the pattern classification system.
基于竞争学习算法的模糊分类器确定系统的模糊空间和模糊规则数，并得出每个样本对每条规则的适用程度。
The fuzzy space structure of system and the number of fuzzy rules based on fuzzy competitive learning algorithm are determined and the fitness degree of each rule contrast to each sample is obtained.
由确定性退火技术构造学习规则用于优化分类器参数，目的是减少分类误差以及待识别空间的系统熵。
Learning rules are constructed according to deterministic annealing to optimize classifier parameters, on purpose to reduce classification error and system entropy of the space to be identified.
对体育课程学习方法的系统分类进行探讨。
Makes an inquiry into the systematic category of the P. E curriculum learning methods.
从某种意义上说，通过粗集理论挖掘出的分类规则是系统通过自学习机制而产生的，因而可以解决知识自动获取的瓶颈问题。
In a sense, rough sets is a kind of self-study mechanism, so we can solve the problem of knowledge obtained automatically by using rough sets.
对UCI机器学习数据库的实验证明，相对于其它方法，EPD方法对多分类器系统性能的预测能力更强。
The experiments on UCI Machine Learning Repository prove that, compared to existing measures, EPD shows stronger ability in predicting the performance of multiple classifier systems.
另外提供一个基于传递技术和学习模式的分类框架，对各类常见的学习技术系统进行分类。
The chapter offers a categorised framework based on technology delivery and learning mode, classifying all kinds of common learning technology systems.
实验显示，相比单纯的基于机器学习的分类系统，这种组合型分类器产生了8%的性能提升。
The experiment result shows that there is 8% performance improvement compared with the single classifying method based on machine learning.
此外，根据研究目标文章还详细设计了知识管理系统中的知识分类系统、基于活动理论的虚拟学习社区。
Besides, the dissertation also detailedly design the knowledge taxon system in knowledge management system and virtual learning community based on activity theory.
随机树分类算法是一种有监督学习的模式识别分类算法，可有效地应用于增强现实系统中的特征识别与匹配。
Randomized tree is a supervised classification algorithm for pattern recognition, which can be effectively used in augmented reality feature recognition and matching.
实验结果表明，系统所使用的轮廓线向量图像特征也能够较有效地应用于图像方向分类，而机器学习则能够有效地为之建立决策树分类模型。
Using teacher images and machine learning method, an image direction classification model is built as a decision tree. Test results argued the validity of this method.
针对方言辨识系统分类决策能力较弱的问题，提出一种基于集成学习的方言辨识方法。
This paper presents a novel Chinese dialect identification method to solve the poor decision ability existed in most dialect identification system.
第三，研究了学习分类器系统在多机器人学习中的应用。
Thirdly, Learning Classifier system is applied to multi-robot system.
第三，研究了学习分类器系统在多机器人学习中的应用。
Thirdly, Learning Classifier system is applied to multi-robot system.
应用推荐